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quivr/supabase/seed.sql
Stan Girard 6db2096f11 feat: 🎸 seed 
added gpt4 integration
2024-02-23 15:25:52 -08:00

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SET session_replication_role = replica;
--
-- PostgreSQL database dump
--
-- Dumped from database version 15.1 (Ubuntu 15.1-1.pgdg20.04+1)
-- Dumped by pg_dump version 15.5 (Ubuntu 15.5-1.pgdg20.04+1)
SET statement_timeout = 0;
SET lock_timeout = 0;
SET idle_in_transaction_session_timeout = 0;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
SELECT pg_catalog.set_config('search_path', '', false);
SET check_function_bodies = false;
SET xmloption = content;
SET client_min_messages = warning;
SET row_security = off;
--
-- Data for Name: audit_log_entries; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
INSERT INTO "auth"."audit_log_entries" ("instance_id", "id", "payload", "created_at", "ip_address") VALUES
('00000000-0000-0000-0000-000000000000', '84e89c28-6f5f-4e24-a03b-68cdaa90b3f2', '{"action":"user_signedup","actor_id":"00000000-0000-0000-0000-000000000000","actor_username":"service_role","actor_via_sso":false,"log_type":"team","traits":{"user_email":"admin@quivr.app","user_id":"39418e3b-0258-4452-af60-7acfcc1263ff","user_phone":""}}', '2024-01-22 22:27:00.164777+00', ''),
('00000000-0000-0000-0000-000000000000', 'ac1d43e6-2b2a-4af1-bdd1-c03907e7ba5a', '{"action":"login","actor_id":"39418e3b-0258-4452-af60-7acfcc1263ff","actor_username":"admin@quivr.app","actor_via_sso":false,"log_type":"account","traits":{"provider":"email"}}', '2024-01-22 22:27:50.16388+00', ''),
('00000000-0000-0000-0000-000000000000', 'e86de23b-ea26-408e-8e8c-a97d2f1f259c', '{"action":"login","actor_id":"39418e3b-0258-4452-af60-7acfcc1263ff","actor_username":"admin@quivr.app","actor_via_sso":false,"log_type":"account","traits":{"provider":"email"}}', '2024-02-06 04:08:08.378325+00', ''),
('00000000-0000-0000-0000-000000000000', 'a356df58-6d1b-45dd-ae13-08ea7b7a0aff', '{"action":"login","actor_id":"39418e3b-0258-4452-af60-7acfcc1263ff","actor_username":"admin@quivr.app","actor_via_sso":false,"log_type":"account","traits":{"provider":"email"}}', '2024-02-21 02:17:19.558786+00', '');
--
-- Data for Name: flow_state; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
--
-- Data for Name: users; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
INSERT INTO "auth"."users" ("instance_id", "id", "aud", "role", "email", "encrypted_password", "email_confirmed_at", "invited_at", "confirmation_token", "confirmation_sent_at", "recovery_token", "recovery_sent_at", "email_change_token_new", "email_change", "email_change_sent_at", "last_sign_in_at", "raw_app_meta_data", "raw_user_meta_data", "is_super_admin", "created_at", "updated_at", "phone", "phone_confirmed_at", "phone_change", "phone_change_token", "phone_change_sent_at", "email_change_token_current", "email_change_confirm_status", "banned_until", "reauthentication_token", "reauthentication_sent_at", "is_sso_user", "deleted_at") VALUES
('00000000-0000-0000-0000-000000000000', '39418e3b-0258-4452-af60-7acfcc1263ff', 'authenticated', 'authenticated', 'admin@quivr.app', '$2a$10$vwKX0eMLlrOZvxQEA3Vl4e5V4/hOuxPjGYn9QK1yqeaZxa.42Uhze', '2024-01-22 22:27:00.166861+00', NULL, '', NULL, '', NULL, '', '', NULL, '2024-02-21 02:17:19.563082+00', '{"provider": "email", "providers": ["email"]}', '{}', NULL, '2024-01-22 22:27:00.158026+00', '2024-02-21 02:17:19.573+00', NULL, NULL, '', '', NULL, '', 0, NULL, '', NULL, false, NULL);
--
-- Data for Name: identities; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
INSERT INTO "auth"."identities" ("provider_id", "user_id", "identity_data", "provider", "last_sign_in_at", "created_at", "updated_at", "id") VALUES
('39418e3b-0258-4452-af60-7acfcc1263ff', '39418e3b-0258-4452-af60-7acfcc1263ff', '{"sub": "39418e3b-0258-4452-af60-7acfcc1263ff", "email": "admin@quivr.app", "email_verified": false, "phone_verified": false}', 'email', '2024-01-22 22:27:00.163787+00', '2024-01-22 22:27:00.163855+00', '2024-01-22 22:27:00.163855+00', '35f91d2f-db60-474c-8dd2-3fcbed9869bd');
--
-- Data for Name: instances; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
--
-- Data for Name: sessions; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
INSERT INTO "auth"."sessions" ("id", "user_id", "created_at", "updated_at", "factor_id", "aal", "not_after", "refreshed_at", "user_agent", "ip", "tag") VALUES
('99541374-fc9d-4f5b-b0f6-ff092a455a60', '39418e3b-0258-4452-af60-7acfcc1263ff', '2024-01-22 22:27:50.165335+00', '2024-01-22 22:27:50.165335+00', NULL, 'aal1', NULL, NULL, 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36', '192.168.65.1', NULL),
('52f4a82d-9e1f-4beb-9548-61f894563ce9', '39418e3b-0258-4452-af60-7acfcc1263ff', '2024-02-06 04:08:08.379919+00', '2024-02-06 04:08:08.379919+00', NULL, 'aal1', NULL, NULL, 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36', '192.168.65.1', NULL),
('3b769a02-80ea-444e-9bd6-65a5699dcca2', '39418e3b-0258-4452-af60-7acfcc1263ff', '2024-02-21 02:17:19.563369+00', '2024-02-21 02:17:19.563369+00', NULL, 'aal1', NULL, NULL, 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36', '192.168.65.1', NULL);
--
-- Data for Name: mfa_amr_claims; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
INSERT INTO "auth"."mfa_amr_claims" ("session_id", "created_at", "updated_at", "authentication_method", "id") VALUES
('99541374-fc9d-4f5b-b0f6-ff092a455a60', '2024-01-22 22:27:50.170258+00', '2024-01-22 22:27:50.170258+00', 'password', 'ecaccc76-7e60-4cac-8472-c104837906cd'),
('52f4a82d-9e1f-4beb-9548-61f894563ce9', '2024-02-06 04:08:08.383754+00', '2024-02-06 04:08:08.383754+00', 'password', '481e338a-dbff-45e3-9e5f-18ae4d96a9c8'),
('3b769a02-80ea-444e-9bd6-65a5699dcca2', '2024-02-21 02:17:19.575399+00', '2024-02-21 02:17:19.575399+00', 'password', '5c38feb5-a73a-4e53-9201-058f8e2bf376');
--
-- Data for Name: mfa_factors; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
--
-- Data for Name: mfa_challenges; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
--
-- Data for Name: refresh_tokens; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
INSERT INTO "auth"."refresh_tokens" ("instance_id", "id", "token", "user_id", "revoked", "created_at", "updated_at", "parent", "session_id") VALUES
('00000000-0000-0000-0000-000000000000', 1, 'qusbTEienvum2hAm8cjwzw', '39418e3b-0258-4452-af60-7acfcc1263ff', false, '2024-01-22 22:27:50.167806+00', '2024-01-22 22:27:50.167806+00', NULL, '99541374-fc9d-4f5b-b0f6-ff092a455a60'),
('00000000-0000-0000-0000-000000000000', 2, 'GgZ5ahBDWrTNx5RyrsRjIA', '39418e3b-0258-4452-af60-7acfcc1263ff', false, '2024-02-06 04:08:08.381408+00', '2024-02-06 04:08:08.381408+00', NULL, '52f4a82d-9e1f-4beb-9548-61f894563ce9'),
('00000000-0000-0000-0000-000000000000', 3, 'J2O0XSAR4328WcWX6adiRQ', '39418e3b-0258-4452-af60-7acfcc1263ff', false, '2024-02-21 02:17:19.567679+00', '2024-02-21 02:17:19.567679+00', NULL, '3b769a02-80ea-444e-9bd6-65a5699dcca2');
--
-- Data for Name: sso_providers; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
--
-- Data for Name: saml_providers; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
--
-- Data for Name: saml_relay_states; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
--
-- Data for Name: sso_domains; Type: TABLE DATA; Schema: auth; Owner: supabase_auth_admin
--
--
-- Data for Name: prompts; Type: TABLE DATA; Schema: public; Owner: postgres
--
--
-- Data for Name: brains; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."brains" ("brain_id", "name", "status", "model", "max_tokens", "temperature", "description", "prompt_id", "last_update", "brain_type", "openai_api_key", "meaning", "tags") VALUES
('8006c53e-8ec0-4a3a-9e24-42d6f0eef3e1', 'Default brain', 'private', NULL, 2000, 0, 'This is a description', NULL, '2024-02-21 01:52:58.362104', 'doc', NULL, 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('2db343ed-f650-4e3c-a527-db7829829bee', 'Quivr Documentation', 'private', 'gpt-4-0125-preview', 2000, NULL, 'This is the documentation of Quivr that can anwer any questions on how to use the SQL database for the telemetry and then the custom brains such as GPT4', NULL, '2024-02-23 05:25:13.335034', 'doc', NULL, 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NULL);
--
-- Data for Name: api_brain_definition; Type: TABLE DATA; Schema: public; Owner: postgres
--
--
-- Data for Name: api_keys; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."api_keys" ("key_id", "user_id", "api_key", "creation_time", "deleted_time", "is_active", "name", "days", "only_chat") VALUES
('fec993b4-4698-475b-b3e4-11777a2dfaa4', '39418e3b-0258-4452-af60-7acfcc1263ff', '226ce9e7e63cc389a5a035b64e4a305b', '2024-02-23 05:04:50', NULL, true, 'api_key', 30, false);
--
-- Data for Name: brain_subscription_invitations; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."brain_subscription_invitations" ("brain_id", "email", "rights") VALUES
('2db343ed-f650-4e3c-a527-db7829829bee', 'stan@quivr.app', 'Viewer');
--
-- Data for Name: brains_users; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."brains_users" ("brain_id", "rights", "default_brain", "user_id") VALUES
('aebe9ff4-77de-4580-9f60-c3099a3275a7', 'Owner', true, '39418e3b-0258-4452-af60-7acfcc1263ff');
--
-- Data for Name: vectors; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."vectors" ("id", "content", "file_sha1", "metadata", "embedding") VALUES
('68296e16-e867-4cac-b165-77cabecc6336', 'How to use Quivr to talk to Quivr’s Telemetry
In order to use Quivr to talk to its telemetry.
You need to ask the question to the brain SQL by typing @SQL in the search bar: ●
How many unique users per day on the telemetry of Quivr ? What are the unique event types ? Who is the most active user ?
Then you can use the brain GPT4 to ask it to:
What is the average per week ? Create a markdown table
And then you can:
– –
customize the response by creating Prompts for your brains. Share your brain with your customers or colleagues', NULL, '{"date": "20240223", "file_name": "How to use Quivr to talk to Quivrs Telemetry.pdf", "file_sha1": "10b3d27559229577532d54504fc227d944ed443e", "file_size": 18556, "chunk_size": 127, "integration": "", "chunk_overlap": 0, "integration_link": "", "original_file_name": "How to use Quivr to talk to Quivrs Telemetry.pdf"}', 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('a7957ba0-e43a-40e8-8f84-4d0fc87d2267', 'Launch BF: 🧠 Quivr (W24) - Open source Chat-powered second brains with 27k+ 🌟
Status
Today Backlog
Assignee
Stan Girard
Antoine Dewez
Brian Laleye
Prio
P0
Hey YC folks! Stan Girard, Brian Laleye and Antoine Dewez here — best friends for
20+ years, GenAI Geeks, and co-founders building Quivr!
TL;DR: Quivr is an open source RAG framework with 27k+ Github 🌟, connected to companies data. For example, Disney uses us to deploy an HR chatbot for their employees.
VIDEO
❌ Searching in company’s information takes 20% of employee’s time
I’m sure you found yourself in at least one of these situations in the last week:
You need an urgent information from an unavailable colleague.
You are always asked for the same information
You don’t know where to search the information you need
❗ Worse, you don’t even know if the information exists in the company
And decisions proceed despite bad information
Launch BF: 🧠 Quivr (W24) - Open source Chat-powered second brains with 27k+ 🌟
1
💢 Impacts:
Decision can be made without having the relevant information
Simple task are executed asynchronously while waiting for the answer
Information doesn’t travel across teams
✅ Quivr is an AI open-source platform where enterprises connect to their tools, docs, APIs and databases to chat with them.
Effortlessly retrieve any available information and let Quivr generate for you new
usable content.
For example, Quivr enables you to :
Automatically write an email without making an effort to provide context.
Extract actionable information from a huge database.
Summarise an endless document to get its essence.
🧠 How it works:
The app can be deployed to the cloud, or self-hosted on existing infrastructure to answer any data privacy concerns.
Create Brains that connect to:', NULL, '{"date": "20240221", "file_name": "Quivr Open Source Chatpowered.pdf", "file_sha1": "2db953256d78b21920f32c975bc0b19a7317d6d1", "file_size": 1994010, "chunk_size": 419, "integration": "", "chunk_overlap": 0, "integration_link": "", "original_file_name": "Quivr Open Source Chatpowered.pdf"}', 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Launch BF: 🧠 Quivr (W24) - Open source Chat-powered second brains with 27k+ 🌟
2
A specific Brain
All your brains and let Quivr find the best one
Chat with your answer
🔨 The Founding Team
3 French guys with a good accent that have been friends, coworkers, founders,
open-source enthusiasts !
Before starting Quivr, Brian co-founded two companies with one exit & grew in less
than a year a new division to 1M ARR in his previous company.
Antoine graduated from La Sorbonne with a focus on history and political science
before transitioning into engineering. He was the first front-end developer at a
company that saw a 15-fold increase in GMV over two years.
Stan Girard is a Devops Expert & Engineering Manager turned Head of GenAI in a web dev agency with 100m$ of turnover while leading the GenAI Thought Leadership of the group.
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We have over 7 years of experience in Sales and understand the lay of the land well.
Launch BF: 🧠 Quivr (W24) - Open source Chat-powered second brains with 27k+ 🌟
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Angular, NextJS, CSS, …SCSS!!!, Javascript → Typescript are like second
languages for us.
Launch BF: 🧠 Quivr (W24) - Open source Chat-powered second brains with 27k+ 🌟
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--
-- Data for Name: brains_vectors; Type: TABLE DATA; Schema: public; Owner: postgres
--
--
-- Data for Name: chats; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."chats" ("chat_id", "user_id", "creation_time", "history", "chat_name") VALUES
('482872e4-91fe-4f4b-8331-882954711fc9', '39418e3b-0258-4452-af60-7acfcc1263ff', '2024-01-22 22:28:02.175246', NULL, 'What is quivr'),
('3e3b4c4a-e606-4366-acfc-873e777cf53f', '39418e3b-0258-4452-af60-7acfcc1263ff', '2024-01-23 03:35:49.634698', NULL, 'What os quivr'),
('4aa85022-8162-4b39-b7c8-cfb2a0e3fd7c', '39418e3b-0258-4452-af60-7acfcc1263ff', '2024-01-23 03:38:28.700781', NULL, 'What is quivr?'),
('ec676cad-3c44-4da0-8090-dca235627ebb', '39418e3b-0258-4452-af60-7acfcc1263ff', '2024-02-21 02:17:46.987726', NULL, 'New Chat'),
('2be6c594-dbff-4f4e-9e2e-72368025ad25', '39418e3b-0258-4452-af60-7acfcc1263ff', '2024-02-21 06:29:27.432023', NULL, 'What is quivr'),
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--
-- Data for Name: chat_history; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."chat_history" ("message_id", "chat_id", "user_message", "assistant", "message_time", "brain_id", "prompt_id", "metadata", "user_feedback") VALUES
('af99ce12-1080-426c-acaf-3c6c09cdbecb', '4aa85022-8162-4b39-b7c8-cfb2a0e3fd7c', 'What is quivr ? ', 'Quivr is a virtual reality archery game that allows players to experience the thrill of archery in a simulated environment. Players use motion controllers to aim, draw, and release their virtual bow to hit targets and complete challenges. The game provides a realistic and immersive archery experience for VR enthusiasts.', '2024-01-23 03:43:54.416148', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"close_brains": [{"id": "2db343ed-f650-4e3c-a527-db7829829bee", "name": "Default brain", "similarity": 0.717073075073519}], "follow_up_questions": ["Use simpler language", "Provide pros and cons", "Elaborate on a specific point"]}', NULL),
('6ff84948-2dab-4e2b-8a90-c6e236f5f875', '2be6c594-dbff-4f4e-9e2e-72368025ad25', 'What is quivr ? ', 'I''m here to provide assistance and information based on the context provided from the files you uploaded. If you have any specific questions or need help with something, feel free to ask!', '2024-02-21 06:29:29.641485', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "Maupassant_Une_vie.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/Maupassant_Une_vie.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvTWF1cGFzc2FudF9VbmVfdmllLnBkZiIsImlhdCI6MTcwODQ5Njk3NCwiZXhwIjoxNzA4NTAwNTc0fQ.jGfJY0HkD7HPa2TK7e4O5F5jf111QRMsVE5IWJ0Mo5I", "original_file_name": "Maupassant_Une_vie.pdf"}, {"name": "Maupassant_Une_vie.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/Maupassant_Une_vie.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvTWF1cGFzc2FudF9VbmVfdmllLnBkZiIsImlhdCI6MTcwODQ5Njk3NCwiZXhwIjoxNzA4NTAwNTc0fQ.jGfJY0HkD7HPa2TK7e4O5F5jf111QRMsVE5IWJ0Mo5I", "original_file_name": "Maupassant_Une_vie.pdf"}, {"name": "Maupassant_Une_vie.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/Maupassant_Une_vie.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvTWF1cGFzc2FudF9VbmVfdmllLnBkZiIsImlhdCI6MTcwODQ5Njk3NCwiZXhwIjoxNzA4NTAwNTc0fQ.jGfJY0HkD7HPa2TK7e4O5F5jf111QRMsVE5IWJ0Mo5I", "original_file_name": "Maupassant_Une_vie.pdf"}, {"name": "Maupassant_Une_vie.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/Maupassant_Une_vie.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvTWF1cGFzc2FudF9VbmVfdmllLnBkZiIsImlhdCI6MTcwODQ5Njk3NCwiZXhwIjoxNzA4NTAwNTc0fQ.jGfJY0HkD7HPa2TK7e4O5F5jf111QRMsVE5IWJ0Mo5I", "original_file_name": "Maupassant_Une_vie.pdf"}, {"name": "Maupassant_Une_vie.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/Maupassant_Une_vie.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvTWF1cGFzc2FudF9VbmVfdmllLnBkZiIsImlhdCI6MTcwODQ5Njk3NCwiZXhwIjoxNzA4NTAwNTc0fQ.jGfJY0HkD7HPa2TK7e4O5F5jf111QRMsVE5IWJ0Mo5I", "original_file_name": "Maupassant_Une_vie.pdf"}]}', NULL),
('839d5755-1883-43c6-81f6-5e1efb9cd0a5', '2be6c594-dbff-4f4e-9e2e-72368025ad25', 'Who is jeanne ? ', 'Jeanne is the main character in the story "Une vie" by Guy de Maupassant. She is a young girl who has just left the convent, finally free to embrace the joys of life that she has been dreaming about for a long time. Jeanne is depicted as being curious, eager for happiness, and ready to experience all the charming encounters and adventures that life has in store for her. 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Quivr is an open-source chat-powered second brain platform founded by three French individuals with diverse backgrounds in engineering, sales, and open-source development. They possess expertise in growing companies, increasing revenue, and frontend technologies like Angular, NextJS, CSS, SCSS, and Javascript.
**Key Features:**
- Quivr is an open-source RAG framework with over 27,000 Github stars.
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Quivr is an open-source chat-powered second brain platform founded by three French individuals with diverse backgrounds in engineering, sales, and DevOps. They have a proven track record in growing companies, increasing GMV, and leading thought leadership in web development agencies. The platform aims to assist individuals and companies in finding information more efficiently.
**Key Features of Quivr:**
- Open-source RAG framework with over 27k Github stars.
- Connected to companies'' data, with Disney utilizing it to deploy an HR chatbot for their employees.
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('0e4824a2-634d-47b1-8127-259bf30bc347', '9dab72e2-80b0-4c9a-b5b8-00e2205f0fce', 'what is quivr ? ', '**Quivr Overview:**
Quivr is an open-source chat-powered second brain platform founded by three French individuals with backgrounds in engineering, sales, and DevOps. They have experience in growing companies and increasing GMV. Quivr is an open-source RAG framework with over 27,000 Github stars and is connected to company data. For instance, Disney utilizes Quivr to deploy an HR chatbot for their employees. The founders are Github power users with expertise in frontend technologies such as Angular, NextJS, and CSS.', '2024-02-22 18:43:03.706234', 'a2ba3d61-044f-45dc-9104-22b35c3f9bcc', NULL, NULL, NULL),
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('baa4c924-0ed5-41eb-8439-cb3de82b8a9c', '9dab72e2-80b0-4c9a-b5b8-00e2205f0fce', 'What is quivr ? ', '', '2024-02-22 18:51:14.279632', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, NULL, NULL),
('eaa4695e-a4fa-4939-a36c-007b9d2b1e82', '5285d7ab-363b-4d15-93f8-356c375d137c', 'Wht is quivr ? ', '**Quivr: An Overview**
Quivr is an open-source chat-powered second brain platform founded by three French individuals with diverse backgrounds in engineering, sales, and open-source enthusiasm. Their collective experience includes growing companies and divisions, as well as expertise in frontend development and DevOps.
This platform serves as an open-source RAG framework with over 27,000 Github stars and is integrated with companies'' data systems. For instance, Disney utilizes Quivr to deploy an HR chatbot for their employees. Quivr functions as an AI-driven open-source solution where enterprises can seamlessly connect to their tools, documents, APIs, and databases to interact with them through chat interfaces.', '2024-02-22 18:53:53.809579', 'a2ba3d61-044f-45dc-9104-22b35c3f9bcc', NULL, NULL, NULL),
('841d7902-7109-45d2-94ef-21f2613785ed', '5285d7ab-363b-4d15-93f8-356c375d137c', 'Again ? ', '', '2024-02-22 18:54:11.160909', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, NULL, NULL),
('b8951c94-35f2-448f-8393-3264130e2bb1', '9e65e944-b957-4cb5-9faf-aeaebbe1c469', 'What is quivr ? ', '**Quivr Overview:**
Quivr is an open-source chat-powered second brain platform founded by three French individuals with backgrounds in engineering, sales, and DevOps. They have experience in growing companies, increasing GMV, and leading thought leadership in web development. Quivr aims to help companies with over 100 employees who have issues finding information. They are also Github power users and have expertise in frontend technologies like Angular, NextJS, and Typescript.
**Key Features:**
- Quivr is an open-source RAG framework with 27k+ Github stars.
- It is connected to companies'' data and can be used for various purposes.
- For instance, Disney utilizes Quivr to deploy an HR chatbot for their employees.
- Quivr serves as an AI open-source platform where enterprises can connect to their tools, documents, APIs, and databases to interact via chat.', '2024-02-22 19:30:33.233092', 'a2ba3d61-044f-45dc-9104-22b35c3f9bcc', NULL, NULL, NULL),
('e772bb02-3bb2-45a4-9294-dc425cf783c1', '9e65e944-b957-4cb5-9faf-aeaebbe1c469', 'What is quivr ? ', '', '2024-02-22 19:30:52.184803', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, NULL, NULL),
('790580e6-1535-4574-aa11-26ec7e844ee2', '9e65e944-b957-4cb5-9faf-aeaebbe1c469', 'What is quivr =? ', '', '2024-02-22 19:36:47.247819', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, NULL, NULL),
('3f5de86a-e5ff-4681-b1fe-d3e60a08f9f9', 'c31d13fa-d84a-48c0-b4ba-2767cb8852af', 'What is quivr ? ', '', '2024-02-22 19:37:51.941009', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, NULL, NULL),
('af9328e8-d5a8-4a00-885c-26f53d0ca28a', '2734688a-c80f-47eb-8f53-563f88a3cbbc', 'What is quivr ? ', '', '2024-02-22 19:39:45.492752', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, NULL, NULL),
('4168e599-4a47-4a75-bfd8-879bbe19fd8c', '2734688a-c80f-47eb-8f53-563f88a3cbbc', 'What is quirv ? ', '', '2024-02-22 19:40:51.920199', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, NULL, NULL),
('9c84ad80-bb44-4304-b2f0-50e923b9e8d8', 'ff6a6b5d-b548-438c-8bee-3c2d3ef25606', 'What is quivr ? ', 'I''m not sure what "quivr" refers to in the context provided from the files. If you have any other questions or need assistance with something else, feel free to ask!', '2024-02-22 19:45:18.604509', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "Maupassant_Une_vie.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/Maupassant_Une_vie.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvTWF1cGFzc2FudF9VbmVfdmllLnBkZiIsImlhdCI6MTcwODYzMTEyMSwiZXhwIjoxNzA4NjM0NzIxfQ.k9KyYcOiXxRQa8MBz8fYBxrJphF5M6wyzAo5Lhmp_0g", "original_file_name": "Maupassant_Une_vie.pdf"}, {"name": "Maupassant_Une_vie.pdf", "type": "file", "source_url": 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('3e91c16f-2182-4494-98bb-5d5b1d3f2b83', 'ff6a6b5d-b548-438c-8bee-3c2d3ef25606', 'Again ', 'I have provided excerpts from the file "Maupassant_Une_vie.pdf" which describe scenes from the life of Jeanne. These excerpts include descriptions of her surroundings, family dynamics, and her internal thoughts and emotions. Let me know if you would like me to provide more specific information from the file.', '2024-02-22 19:45:37.845811', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "Maupassant_Une_vie.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/Maupassant_Une_vie.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvTWF1cGFzc2FudF9VbmVfdmllLnBkZiIsImlhdCI6MTcwODYzMTE0MCwiZXhwIjoxNzA4NjM0NzQwfQ.8aZu11Vj_nus6LJ3hUhgtMpuXhsZu3_l_QguoqfP0v0", "original_file_name": "Maupassant_Une_vie.pdf"}, {"name": "Maupassant_Une_vie.pdf", "type": "file", "source_url": 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('c3ac7f29-896b-40a9-9a0c-b170de1f8048', 'c903ed0c-454f-4aac-a993-c6db10fc3507', 'What is quivr ? ', '**Quivr Overview:**
Quivr is an open-source chat-powered second brain platform founded by three French individuals with diverse backgrounds in engineering, sales, and DevOps. They possess expertise in frontend technologies like Angular, NextJS, CSS, SCSS, and Javascript. Additionally, they are proficient Github power users with a strong sales understanding.
**Key Features of Quivr:**
- Open-source RAG framework with over 27k Github stars.
- Connected to companies'' data, with Disney utilizing it to deploy an HR chatbot for their employees.
- An AI open-source platform enabling enterprises to connect to their tools, documents, APIs, and databases for seamless communication.', '2024-02-22 19:49:26.942197', 'a2ba3d61-044f-45dc-9104-22b35c3f9bcc', NULL, NULL, NULL),
('48419a94-bfc9-462f-bb6a-90cdde1c826c', 'c903ed0c-454f-4aac-a993-c6db10fc3507', 'What is quivr ? ', '', '2024-02-22 19:49:42.379267', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, NULL, NULL),
('49c517a8-3239-4aa6-bfac-b8e1c25268fd', 'c903ed0c-454f-4aac-a993-c6db10fc3507', 'What is quivr ? ', '', '2024-02-22 19:52:27.822878', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, NULL, NULL),
('a26ac244-9612-4b1b-b080-3fcc7ae70253', '37579a45-a045-4d12-9721-46e4e4a69a19', 'What is quivr ? ', '**Quivr Overview:**
Quivr is an open-source chat-powered second brain platform founded by three French individuals with diverse backgrounds in engineering, sales, and DevOps. They possess expertise in growing companies, revenue generation, and frontend technologies such as Angular, NextJS, CSS, SCSS, and Javascript. Additionally, they are proficient Github power users with a deep understanding of open-source principles.
**Key Features of Quivr:**
- Quivr is an open-source RAG framework with over 27k Github stars.
- It is integrated with companies'' data, with Disney being an example of a user leveraging Quivr to deploy an HR chatbot for their employees.
- Quivr serves as an AI open-source platform enabling enterprises to connect with their tools, documents, APIs, and databases through chat interactions.', '2024-02-22 19:54:15.130011', 'a2ba3d61-044f-45dc-9104-22b35c3f9bcc', NULL, NULL, NULL),
('5925724f-b3f3-40c5-b5be-2240c3ce366a', '6145dd6c-2b79-4615-a24f-8765d99174e6', 'What is quivr ? ', 'I''m not sure what "quivr" refers to in this context. 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('2b5ca2d6-6df4-4b8e-bcb0-6da570dab25b', '6145dd6c-2b79-4615-a24f-8765d99174e6', 'What is quivr ? ', '', '2024-02-22 19:55:20.411662', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, NULL, NULL),
('8aa320ae-f988-4bfb-a705-e5f9571bf5a0', 'a6491b6e-8c30-4874-baac-33ee5da536d8', 'What is quivr ? ', 'Quivr is an interesting term that is not directly related to the provided context. Unfortunately, based on the information available from the files, I don''t have a specific answer or reference to what "quivr" might be. If you have any other questions or need assistance with something else, feel free to ask!', '2024-02-22 19:55:49.910254', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "Maupassant_Une_vie.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/Maupassant_Une_vie.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvTWF1cGFzc2FudF9VbmVfdmllLnBkZiIsImlhdCI6MTcwODYzMTc1MywiZXhwIjoxNzA4NjM1MzUzfQ.PgBPICNatU5wd3qCm0SoFhFLVROTEU59gCMCU8Nk7vI", "original_file_name": "Maupassant_Une_vie.pdf"}, {"name": "Maupassant_Une_vie.pdf", "type": "file", "source_url": 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('ceb132f8-e31e-453a-b792-759935af3a16', '68695db9-129c-4425-82c3-bf822783ebce', 'How many unique users per day on the telemetry of Quivr ? ', '', '2024-02-23 05:39:50.527684', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('d872fca1-be54-4dbf-ac9e-a6b088a60658', '14a0c791-d1c5-4b13-ab5f-213b8633ac97', 'How many unique users per day on the telemetry of Quivr ?', '', '2024-02-23 05:42:44.099554', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('ef82c1d2-45b1-440b-8da6-5821f3bd3c87', 'a6491b6e-8c30-4874-baac-33ee5da536d8', 'What is quivr ? ', 'I don''t have information on what "quivr" is based on the provided context from the files. 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('42fe338b-cbe9-420e-aeb4-0d99a08bf612', 'e33cfa44-10ae-4ed1-a764-96027feea5d0', 'In one line', 'The conversation revolves around Jeanne''s anticipation and excitement for her departure to their family estate, while showcasing the dynamic relationships and characteristics of the family members.', '2024-02-22 20:06:07.957484', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "Maupassant_Une_vie.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/Maupassant_Une_vie.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvTWF1cGFzc2FudF9VbmVfdmllLnBkZiIsImlhdCI6MTcwODYzMjM3MCwiZXhwIjoxNzA4NjM1OTcwfQ.inAlzUC2HUSeT33WZUAsWYNWZdligd50BF8cHVDnlAE", "original_file_name": "Maupassant_Une_vie.pdf"}, {"name": "Maupassant_Une_vie.pdf", "type": "file", "source_url": 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('a4a71f7d-5cc3-4323-9f52-6a5b4f190cca', '4ab9e481-5af3-4505-af3d-64193c24eb76', 'How many unique users ? ', 'There are 350 unique users in the telemetry data.
Query:
```sql
SELECT COUNT(DISTINCT anonymous_identifier) AS unique_users
FROM telemetry;
```', '2024-02-23 05:07:13.356509', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('6ed95181-e1f3-45d7-87e6-de347ab1770b', 'ee2b2fde-0624-40ed-a4e0-e8e253e70455', 'How many unique users per day on the telemetry of Quivr ? ', 'There are various numbers of unique users per day on the telemetry of Quivr. The specific counts are as follows:
- On February 8, 2024: 22 unique users
- On February 9, 2024: 33 unique users
- On February 10, 2024: 33 unique users
- On February 11, 2024: 43 unique users
- On February 12, 2024: 49 unique users
- On February 13, 2024: 51 unique users
- On February 14, 2024: 46 unique users
- On February 15, 2024: 55 unique users
- On February 16, 2024: 34 unique users
- On February 17, 2024: 48 unique users
- On February 18, 2024: 37 unique users
- On February 19, 2024: 53 unique users
- On February 20, 2024: 52 unique users
- On February 21, 2024: 75 unique users
- On February 22, 2024: 67 unique users
- On February 23, 202', '2024-02-23 05:08:19.449707', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('652e9302-9014-4e9b-8073-1716e6bb862d', '0b17c0f0-2ff5-4310-950f-feb08650492f', 'How many unique users per day on the telemetry of Quivr ?', '', '2024-02-23 05:42:03.809116', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('afd0738c-fb47-4d8b-ac82-e2123f2ab630', '5f3de29d-8c82-4cf5-96cd-713719f42177', 'How many unique users per day on the telemetry of Quivr ?', 'There are different numbers of unique users per day in the telemetry data for Quivr. For example, on February 8th, there were 22 unique users, on February 9th there were 33, and so on. The SQL query used to calculate this information is:
```sql
SELECT COUNT(DISTINCT anonymous_identifier), DATE(created_at) AS date
FROM telemetry
GROUP BY DATE(created_at)
ORDER BY date;
```', '2024-02-23 05:44:36.254534', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('80103ede-1188-4a45-aaac-f7c486234f8c', 'ee2b2fde-0624-40ed-a4e0-e8e253e70455', 'What is the average per week ? ', 'To calculate the average number of unique users per day for each week, we''ll group the data by week and then calculate the average for each group.
First, let''s organize the dates given into weeks. Assuming the week starts on Monday and using the dates provided (February 8, 2024, to February 23, 2024), we have the following:
1. Week 1: February 8-11, 2024 (Thursday to Sunday)
2. Week 2: February 12-18, 2024 (Monday to Sunday)
3. Week 3: February 19-23, 2024 (Monday to Friday)
Now, we''ll calculate the averages:
- **Week 1 (February 8-11, 2024):**
Total users from Feb 8 to Feb 11 = 22 + 33 + 33 + 43 = 131
Number of days = 4
Average = Total users / Number of days = 131 / 4 = 32.75 unique users per day
- **Week 2 (February 12-18, 2024):**
Total users from Feb 12 to Feb 18 = 49 + 51 + 46 + 55 + 34 + 48 + 37 = 320
Number of days = 7
Average = Total users / Number of days = 320 / 7 = 45.71 unique users per day
- **Week 3 (February 19-23, 2024):**
Total users from Feb 19 to Feb 23 = 53 + 52 + 75 + 67 + 62 = 309
Number of days = 5
Average = Total users / Number of days = 309 / 5 = 61.8 unique users per day
Therefore, the average number of unique users per day for each week is 32.75 for Week 1, 45.71 for Week 2, and 61.8 for Week 3.', '2024-02-23 05:11:02.417807', 'aebe9ff4-77de-4580-9f60-c3099a3275a7', NULL, NULL, NULL),
('ac4d348f-e799-43a4-96dd-93db48f3ba33', 'ee2b2fde-0624-40ed-a4e0-e8e253e70455', 'What are the unique event types ? ', 'Response: The unique event types in the telemetry table are: user_login, question_asked, create_brain, upload_file, and booting.
Query: SELECT DISTINCT event_name
FROM telemetry;', '2024-02-23 05:12:26.685736', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('52bc7535-81b8-4331-852d-1ea57cd9b8c8', 'ee2b2fde-0624-40ed-a4e0-e8e253e70455', 'Summarize in two lines the learnings', 'The telemetry data reveals a diverse interaction pattern with Quivr, highlighting user engagements such as logins, query submissions, brain creations, file uploads, and system boot operations. These metrics suggest active utilization and interaction with the platform''s core features.', '2024-02-23 05:13:31.249073', 'aebe9ff4-77de-4580-9f60-c3099a3275a7', NULL, NULL, NULL),
('389d3506-6dd0-4067-95df-dd889d41b68c', 'ee2b2fde-0624-40ed-a4e0-e8e253e70455', 'Give me a markdown table of the average', 'Here''s a markdown table summarizing the average number of unique users per day for each week based on the previously provided data:
| Week | Dates | Average Unique Users per Day |
|------------|--------------------|------------------------------|
| Week 1 | February 8-11, 2024 | 32.75 |
| Week 2 | February 12-18, 2024| 45.71 |
| Week 3 | February 19-23, 2024| 61.8 |
This table provides a quick overview of user engagement on a weekly average basis.', '2024-02-23 05:13:54.486788', 'aebe9ff4-77de-4580-9f60-c3099a3275a7', NULL, NULL, NULL),
('a6d215f0-2a31-4c92-bd73-990dc24652b8', 'ee2b2fde-0624-40ed-a4e0-e8e253e70455', 'Who is the most active user ? ', 'The most active user is the one with the anonymous identifier ''24af295e7b0250a30119d9cf5d910645b88c9b530557cafa4cec89248802e714'', with a total of 16195 events recorded in the telemetry table.', '2024-02-23 05:20:52.254615', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('5730cb4c-5282-4936-88e1-8ab82cac5808', '469b743f-34d9-4bc7-81e6-12baacbf6ebf', 'How can I know how many people installed Quivr locally , ', '', '2024-02-23 05:25:36.937226', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('658d9972-8dcb-4243-a379-b144a7572e70', '72935b17-0d9f-4d8f-a535-97e7082bcb0a', 'How can I know how many people installed Quivr locally ? ', '', '2024-02-23 05:26:05.284132', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('cdc4043b-f0f0-481f-aa49-abb88fb6f637', 'b907e356-cb1d-4c69-b92c-23e67890476e', 'How can I know how many people installed Quivr locally ? ', '', '2024-02-23 05:28:15.75491', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('bd05f2f5-764d-4ff8-8f29-13560ab283eb', '43c709a1-f6c5-4d55-a934-3bffb89cc664', 'How can I know how many people installed Quivr locally ? ', 'I don''t know.', '2024-02-23 05:28:28.605927', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "How to use Quivr to talk to Quivrs Telemetry.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/How to use Quivr to talk to Quivrs Telemetry.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvSG93IHRvIHVzZSBRdWl2ciB0byB0YWxrIHRvIFF1aXZycyBUZWxlbWV0cnkucGRmIiwiaWF0IjoxNzA4NjY2MTExLCJleHAiOjE3MDg2Njk3MTF9.-6-9OwpXxMFIG6PjUgRamBhuhaGqmZK0Gj92Q-AYO7w", "original_file_name": "How to use Quivr to talk to Quivrs Telemetry.pdf"}]}', NULL),
('d1895cf2-dbfc-4a85-897b-fecfb3a6a615', '9021f24b-9865-4470-a30b-1d9ce46d3e52', 'Can I talk to the telemetry ? ', 'Yes, it is possible for you to communicate with the telemetry system of Quivr. To do so, you need to follow these steps:
1. Type `@SQL` in the search bar to ask questions to the brain SQL. You can query information such as:
- How many unique users per day on the telemetry of Quivr?
- What are the unique event types?
- Who is the most active user?
2. Then, you can use brain GPT4 to ask for average data per week and create a markdown table with the information.
Additionally, you can customize the response by creating prompts for your brains and share your brain with your customers or colleagues.', '2024-02-23 05:30:06.139075', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "How to use Quivr to talk to Quivrs Telemetry.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/How to use Quivr to talk to Quivrs Telemetry.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvSG93IHRvIHVzZSBRdWl2ciB0byB0YWxrIHRvIFF1aXZycyBUZWxlbWV0cnkucGRmIiwiaWF0IjoxNzA4NjY2MjEzLCJleHAiOjE3MDg2Njk4MTN9.8wa0dWKhlUPmqAn51icdxbXgMNuAqcc0unbnawuynx0", "original_file_name": "How to use Quivr to talk to Quivrs Telemetry.pdf"}]}', NULL),
('33ded6fb-daf8-4107-b477-673cf95717b3', 'c1e52e1b-fd38-4381-88c5-db0072e7d202', 'Can I talk to the telemetry ? ', 'Yes, it is possible for you to communicate with the telemetry system. To do this, you need to ask your question to the brain SQL by typing `@SQL` in the search bar. You can ask questions such as:
- How many unique users per day are on the telemetry of Quivr?
- What are the unique event types?
- Who is the most active user?
Afterwards, you can use the brain GPT4 to ask for specific analyses like the average per week and create a markdown table based on that.
Additionally, you can customize the response by creating prompts for your brains and share your brain with your customers or colleagues.', '2024-02-23 05:31:19.034536', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "How to use Quivr to talk to Quivrs Telemetry.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/How to use Quivr to talk to Quivrs Telemetry.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvSG93IHRvIHVzZSBRdWl2ciB0byB0YWxrIHRvIFF1aXZycyBUZWxlbWV0cnkucGRmIiwiaWF0IjoxNzA4NjY2Mjg2LCJleHAiOjE3MDg2Njk4ODZ9.Wf-v6rSAuNrm_Ln6TAYreKlcSgsp4dMkraL4r-NHKzM", "original_file_name": "How to use Quivr to talk to Quivrs Telemetry.pdf"}]}', NULL),
('80c725ed-f65b-44d9-afab-6553ec0deb79', 'c1e52e1b-fd38-4381-88c5-db0072e7d202', 'How many unique users per day are on the telemetry of Quivr?', '', '2024-02-23 05:32:04.099582', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('a8d09986-555d-4ea4-8cee-8c37f6d691d3', 'c1e52e1b-fd38-4381-88c5-db0072e7d202', 'How many unique users per day are on the telemetry of Quivr?', '', '2024-02-23 05:32:40.275965', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('0831e8c3-8ab4-4072-8c60-b849854033d1', '69eac3ab-2ed1-4872-bdd0-c74961a4257b', 'How can I know how many people installed Quivr locally ?', '', '2024-02-23 05:34:40.439164', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('b685b6ea-94c9-4a40-a750-7bafae7d7451', '27403e05-67f3-4140-96e2-7cf587c9ad88', 'How many lines is there ?', '', '2024-02-23 05:35:42.348472', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('f1a85e8b-5a03-485d-b99e-4258ea137cfe', 'f980fa7c-8507-4828-9e48-9ce3a083a42d', 'How many lines in the database ? ', '', '2024-02-23 05:37:51.642986', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('7a199c8d-ab35-492c-842e-e63c00b7fffc', '841126d4-be55-412e-80c3-a8af51b46727', 'Give me the number of lines in telemetry ', '', '2024-02-23 05:38:39.502197', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('912cbcfc-7305-4500-9180-67a396cdeab5', '03421adf-3a57-47e3-9d03-a165c4f42354', 'How can I know how many people installed Quivr locally ? ', 'I don''t know.', '2024-02-23 05:48:13.290051', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "How to use Quivr to talk to Quivrs Telemetry.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/How to use Quivr to talk to Quivrs Telemetry.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvSG93IHRvIHVzZSBRdWl2ciB0byB0YWxrIHRvIFF1aXZycyBUZWxlbWV0cnkucGRmIiwiaWF0IjoxNzA4NjY3Mjk1LCJleHAiOjE3MDg2NzA4OTV9.8O-9XEpf5UJ5W4RWhcxHyK1kEnLFcLiMSK1SrURtaAg", "original_file_name": "How to use Quivr to talk to Quivrs Telemetry.pdf"}]}', NULL),
('6928c7bb-1e50-4f54-a58e-9859a90fdf9f', '03421adf-3a57-47e3-9d03-a165c4f42354', 'How can i access the telemery of Quivr ?', 'To access the telemetry of Quivr, you need to:
1. Ask the question to the brain SQL by typing `@SQL` in the search bar and query for information such as:
- How many unique users per day on the telemetry of Quivr?
- What are the unique event types?
- Who is the most active user?
2. Use the brain GPT4 to ask it to calculate and provide information like:
- What is the average per week? You can request it to create a markdown table for easy interpretation.
Additionally, you have the option to:
- Customize the response by creating Prompts for your brains.
- Share your brain with your customers or colleagues for collaborative access or insights sharing.', '2024-02-23 05:48:35.282703', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "How to use Quivr to talk to Quivrs Telemetry.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/How to use Quivr to talk to Quivrs Telemetry.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvSG93IHRvIHVzZSBRdWl2ciB0byB0YWxrIHRvIFF1aXZycyBUZWxlbWV0cnkucGRmIiwiaWF0IjoxNzA4NjY3MzM2LCJleHAiOjE3MDg2NzA5MzZ9.tg3hHmaUuDkYL2RT7GLZRg-aiuwluN2WAz6JlCsdfV8", "original_file_name": "How to use Quivr to talk to Quivrs Telemetry.pdf"}]}', NULL),
('8819e3b6-1cd9-4674-910c-b8461d036abb', '03421adf-3a57-47e3-9d03-a165c4f42354', 'How many unique users per day on the telemetry of Quivr?', 'There are varying numbers of unique users per day in the telemetry data for Quivr. Here is a breakdown of the unique users per day:
- Day: 2024-02-08, Unique Users: 22
- Day: 2024-02-09, Unique Users: 33
- Day: 2024-02-10, Unique Users: 33
- Day: 2024-02-11, Unique Users: 43
- Day: 2024-02-12, Unique Users: 49
- Day: 2024-02-13, Unique Users: 51
- Day: 2024-02-14, Unique Users: 46
- Day: 2024-02-15, Unique Users: 55
- Day: 2024-02-16, Unique Users: 34
- Day: 2024-02-17, Unique Users: 48
- Day: 2024-02-18, Unique Users: 37
- Day: 2024-02-19, Unique Users: 53
- Day: 2024-02-20, Unique Users: 52
- Day: 2024-', '2024-02-23 05:49:12.153538', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('84b2ee94-38c1-4ad7-8fcf-f6505e63da31', '572d96ce-532f-4755-a626-dcbab482461b', 'How can i access the telemery of Quivr ?', 'To access the telemetry of Quivr, you need to follow these steps:
1. **Ask Questions to the Brain SQL**: In the search bar, type `@SQL` and then you can ask questions such as:
- How many unique users per day on the telemetry of Quivr?
- What are the unique event types?
- Who is the most active user?
2. **Utilize Brain GPT4**: Once you have the initial data, you can ask Brain GPT4 for further analysis, like calculating the average per week. You can also request it to create a markdown table with the information.
3. **Customization and Sharing**:
- Customize the response by creating prompts for your brains.
- Share your brain with your customers or colleagues to provide them with the insights gathered.
By following these steps, you can effectively interact with and analyze Quivr''s telemetry data.', '2024-02-23 05:50:20.680024', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "How to use Quivr to talk to Quivrs Telemetry.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/How to use Quivr to talk to Quivrs Telemetry.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvSG93IHRvIHVzZSBRdWl2ciB0byB0YWxrIHRvIFF1aXZycyBUZWxlbWV0cnkucGRmIiwiaWF0IjoxNzA4NjY3NDI3LCJleHAiOjE3MDg2NzEwMjd9.2dOZ0fyZbElXGuYrOP8PzhGEpuORosB1UkVIxLuFDQ4", "original_file_name": "How to use Quivr to talk to Quivrs Telemetry.pdf"}]}', NULL),
('980fa1cb-f9bb-451c-b532-998fb2995197', '572d96ce-532f-4755-a626-dcbab482461b', 'How many unique users per week on the telemetry of Quivr?', 'There were 0 unique users per week on the telemetry of Quivr.', '2024-02-23 05:50:46.904124', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('1404625b-9f22-4c09-93cf-dbe265bdf5e7', '572d96ce-532f-4755-a626-dcbab482461b', 'How many unique users per day on the telemetry of Quivr?', 'The query determines the number of unique users that interacted with Quivr per day based on the telemetry data. The response indicates that on February 8, 2024, there were 22 unique users, on February 9 there were 33 unique users, and so on for each day up to February 23, 2024. The query counts the distinct anonymous identifiers for each day and provides these values in conjunction with the corresponding date.', '2024-02-23 05:50:59.373458', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('e4d1bd79-b243-4e98-a13d-068164ca1097', '572d96ce-532f-4755-a626-dcbab482461b', 'Give me the number of users per day ', 'There are different numbers of users each day between February 8, 2024, and February 23, 2024, with a peak of 75 users on February 21, 2024. The SQL query used to obtain this information was:
```sql
SELECT COUNT(DISTINCT anonymous_identifier) AS num_users,
DATE_TRUNC(''day'', created_at) AS date
FROM telemetry
GROUP BY DATE_TRUNC(''day'', created_at)
ORDER BY date;
```', '2024-02-23 05:51:37.176878', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('95b8dd9d-e22a-4dc6-8df7-e139d8bd3326', 'cdc90e7e-6734-451a-82d7-7c05b301584c', 'How can i access the telemetry ? ', 'To access the telemetry of Quivr, you can follow these steps:
1. **Ask your question to the brain SQL**: In the search bar, type `@SQL` followed by your query. For example:
- How many unique users per day are on the telemetry of Quivr?
- What are the unique event types?
- Who is the most active user?
2. **Utilize brain GPT4 for additional insights**: You can ask it to calculate averages or create markdown tables, such as "What is the average per week?" and request a markdown table for the output.
3. **Customize and share**: You can customize the response by creating prompts for your brains and share your brain with your customers or colleagues for collaborative access and insights.
By following these steps, you can effectively communicate with Quivr''s telemetry to gather and analyze the desired data.', '2024-02-23 18:01:47.93915', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "How to use Quivr to talk to Quivrs Telemetry.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/How to use Quivr to talk to Quivrs Telemetry.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvSG93IHRvIHVzZSBRdWl2ciB0byB0YWxrIHRvIFF1aXZycyBUZWxlbWV0cnkucGRmIiwiaWF0IjoxNzA4NzExMzIyLCJleHAiOjE3MDg3MTQ5MjJ9.vQnvnLNprwWXo908fBDRwh45m6nERO-OUbGFJ8LwKyI", "original_file_name": "How to use Quivr to talk to Quivrs Telemetry.pdf"}]}', NULL),
('836491d9-9294-4069-abd8-98315196bb28', '572d96ce-532f-4755-a626-dcbab482461b', 'Summarize the conversation so I can send an email to my boss with the results', 'Certainly! Here''s a concise summary suitable for an email:
---
Subject: Summary of Unique User Interactions with Quivr - February 8-23, 2024
Dear [Boss''s Name],
I''ve conducted an analysis to understand the daily unique user interactions with Quivr between February 8 and February 23, 2024. Utilizing the telemetry data, we employed a SQL query to identify the count of unique users per day for the specified period.
Key Highlights:
- The data shows variable daily user engagement, with a noteworthy peak of 75 unique users on February 21, 2024.
- On the starting date, February 8, 2024, we observed 22 unique users, and this number fluctuated over the analyzed period.
- The day with the highest activity, as mentioned, was February 21, indicating a significant engagement or interest on that date.
This analysis provides insight into user interactions with Quivr, demonstrating days of high and varying engagement. This data could be instrumental in understanding user behavior and optimizing future strategies for increased user engagement and satisfaction.
Best regards,
[Your Name]
---
Feel free to adjust the tone or details to better match your relationship with your boss or the typical communication style of your organization.', '2024-02-23 05:52:12.60951', 'aebe9ff4-77de-4580-9f60-c3099a3275a7', NULL, NULL, NULL),
('abfc94e1-ba9e-4e86-acc0-a08c52cfe5a2', '572d96ce-532f-4755-a626-dcbab482461b', 'What are the different kinds of events ? ', 'Response: The different kinds of events in the telemetry table are ''user_login'', ''question_asked'', ''create_brain'', ''upload_file'', and ''booting''.
Query used to generate the response:
SELECT DISTINCT event_name
FROM telemetry;', '2024-02-23 05:52:55.491765', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('38345ce8-30b5-4875-a234-ff3495dbbed9', 'b70b2013-7b91-4dd6-b042-9e63825a83be', 'How can i access the telemetry of quivr ? ', 'To access the telemetry of Quivr, you need to follow these steps:
1. **Query the Brain SQL:**
- Type `@SQL` in the search bar.
- Then, you can ask it various questions such as:
- How many unique users per day on the telemetry of Quivr?
- What are the unique event types?
- Who is the most active user?
2. **Utilize the Brain GPT4:**
- After obtaining initial information from the Brain SQL, you can proceed to ask the Brain GPT4 for more insights. For example, you can ask it to calculate the average per week and represent this information in a markdown table.
3. **Customization and Sharing:**
- Customize the response by creating prompts for your brains. This allows you to tailor the information to your specific needs.
- Share your brain with your customers or colleagues to provide them with the insights generated.
This process will enable you to effectively communicate with Quivr’s telemetry according to the provided guide.', '2024-02-23 17:24:22.860559', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "How to use Quivr to talk to Quivrs Telemetry.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/How to use Quivr to talk to Quivrs Telemetry.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvSG93IHRvIHVzZSBRdWl2ciB0byB0YWxrIHRvIFF1aXZycyBUZWxlbWV0cnkucGRmIiwiaWF0IjoxNzA4NzA5MDc1LCJleHAiOjE3MDg3MTI2NzV9.ee21p-NBWo5zmEM_aChz8vQQMbP_HKKV4zP9ep7xjWA", "original_file_name": "How to use Quivr to talk to Quivrs Telemetry.pdf"}]}', NULL),
('33f1b62a-db46-414a-bcb1-bd6ec260ec77', 'b70b2013-7b91-4dd6-b042-9e63825a83be', 'How many unique users per day on the telemetry of Quivr?', 'Response: The query shows the number of unique users per day on the telemetry of Quivr. It appears that there were 22 unique users on February 8, 2024, 33 on February 9, 33 on February 10, 43 on February 11, 49 on February 12, 51 on February 13, 46 on February 14, 55 on February 15, 34 on February 16, 48 on February 17, 37 on February 18, 53 on February 19, 52 on February 20, 75 on February 21, 67 on February 22, and 66 on February 23.
Query: SELECT COUNT(DISTINCT anonymous_identifier), DATE(created_at) AS day
FROM telemetry
GROUP BY day;', '2024-02-23 17:24:45.516716', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('8db3fbc5-d271-47b9-a68b-466beb22d5e3', 'b70b2013-7b91-4dd6-b042-9e63825a83be', 'What should I *not* present', 'When handling or presenting data, especially sensitive or personal information, it''s crucial to exercise caution and respect privacy regulations and ethical guidelines. Here are some key points on what you should *not* present, especially in contexts like presentations, reports, or public forums:
1. **Personal Identifiable Information (PII):**
- Do not present any information that can directly or indirectly identify an individual, such as names, addresses, phone numbers, email addresses, social security numbers, or any unique identification numbers.
2. **Sensitive Personal Information:**
- Avoid disclosing information that is considered sensitive, including but not limited to, financial details, health records, biometric data, and information about individuals’ racial or ethnic origin, political opinions, religious beliefs, or sexual orientation.
3. **Confidential Business Information:**
- Do not share proprietary or confidential business information such as trade secrets, strategic plans, unreleased product information, or any data that is covered under nondisclosure agreements.
4. **Security Details:**
- Avoid disclosing detailed security protocols, configurations, or any information that could potentially compromise security systems, networks, or operations.
5. **Incomplete or Unverified Data:**
- Do not present data that is incomplete, unverified, or not validated. Presenting such data can mislead the audience and damage credibility.
6. **Data Out of Context:**
- Avoid presenting data out of context or in a way that misrepresents the information. Ensure that the data is accompanied by appropriate explanations and disclaimers if necessary.
7. **Data Lacking Consent for Disclosure:**
- Do not present data for which explicit consent has not been obtained from the individuals concerned, especially if the data collection did not originally include provisions for public disclosure.
8. **Regulated or Legally Protected Data:**
- Be cautious of and comply with laws and regulations surrounding data privacy and protection, such as GDPR in Europe, CCPA in California, or any applicable local laws. Do not present data in a way that violates these regulations.
Always seek to anonymize and aggregate data in a manner that respects individuals'' privacy and adheres to legal and ethical standards. Before presenting, it''s advisable to consult with legal, compliance, or data protection officers to ensure that the presentation meets all necessary guidelines and regulations.', '2024-02-23 17:26:08.691109', 'aebe9ff4-77de-4580-9f60-c3099a3275a7', NULL, NULL, NULL),
('bbcc45f9-3d9b-4d7d-adab-c65cc057253d', '87e25239-49ae-43d0-a7c5-054bec4ab555', 'How can i access the telemetry ? ', 'To access the telemetry in Quivr, follow these steps:
1. **Access the Brain SQL**: Type `@SQL` in the search bar.
2. **Ask Specific Questions to the Brain SQL**: You can ask questions such as:
- How many unique users per day are on the telemetry of Quivr?
- What are the unique event types?
- Who is the most active user?
3. **Use Brain GPT4 for Further Analysis**:
- Request the Brain GPT4 to analyze data, for example, to calculate the average per week and create a markdown table.
4. **Customization and Sharing**:
- Customize the response by creating Prompts for your brains.
- Share your brain with your customers or colleagues for collaborative insights.
This process allows you to interact with and analyze Quivr’s telemetry data effectively.', '2024-02-23 18:06:33.916241', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "How to use Quivr to talk to Quivrs Telemetry.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/How to use Quivr to talk to Quivrs Telemetry.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvSG93IHRvIHVzZSBRdWl2ciB0byB0YWxrIHRvIFF1aXZycyBUZWxlbWV0cnkucGRmIiwiaWF0IjoxNzA4NzExNjA0LCJleHAiOjE3MDg3MTUyMDR9.lGUaioOp-HOs-JzvGj7ISKENPbR4LIEzhYTx1ooxSh8", "original_file_name": "How to use Quivr to talk to Quivrs Telemetry.pdf"}]}', NULL),
('07d7c8e1-ab2a-4c4b-8c70-a90b53a9fcb1', '2d31567a-d97e-4612-b56a-1807e59694ca', 'How can i access the telemetry ? ', 'The steps to access the telemetry of Quivr are as follows:
1. **Access the brain SQL**: Type `@SQL` in the search bar to interact with the SQL-based queries.
2. **Ask your questions**: Post your queries related to the telemetry of Quivr. Example questions include:
- How many unique users per day on the telemetry of Quivr?
- What are the unique event types?
- Who is the most active user?
3. **Utilize brain GPT4 for analysis**: After getting the basic data, you can ask brain GPT4 for further analysis by posing questions like what is the average per week and request it to create a markdown table for clarity.
4. **Customize and Share**: You have the option to customize the response by creating Prompts for your brains and then share your brain with your customers or colleagues for collaborative access or insights.
', '2024-02-23 18:32:23.925926', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "How to use Quivr to talk to Quivrs Telemetry.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/How to use Quivr to talk to Quivrs Telemetry.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvSG93IHRvIHVzZSBRdWl2ciB0byB0YWxrIHRvIFF1aXZycyBUZWxlbWV0cnkucGRmIiwiaWF0IjoxNzA4NzEzMTUzLCJleHAiOjE3MDg3MTY3NTN9.t93niRz4cuPpXdRAzQzDxhMDfGdRe2LcvPvqI2dmsSI", "original_file_name": "How to use Quivr to talk to Quivrs Telemetry.pdf"}]}', NULL),
('cc522d9d-9e95-4a38-9c0b-160f56d67402', '8c7b4140-f400-4954-ad5d-26158d21dfcb', 'How many unique users per day on the telemetry of Quivr?', 'To find out the daily count of unique users on Quivr''s telemetry, you should type `@SQL` in the search bar and ask:
- How many unique users per day on the telemetry of Quivr?
This will query Quivr''s Telemetry database to provide you with the daily count of unique users.', '2024-02-23 18:38:55.322678', '2db343ed-f650-4e3c-a527-db7829829bee', NULL, '{"sources": [{"name": "How to use Quivr to talk to Quivrs Telemetry.pdf", "type": "file", "source_url": "http://host.docker.internal:54321/storage/v1/object/sign/quivr/2db343ed-f650-4e3c-a527-db7829829bee/How to use Quivr to talk to Quivrs Telemetry.pdf?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1cmwiOiJxdWl2ci8yZGIzNDNlZC1mNjUwLTRlM2MtYTUyNy1kYjc4Mjk4MjliZWUvSG93IHRvIHVzZSBRdWl2ciB0byB0YWxrIHRvIFF1aXZycyBUZWxlbWV0cnkucGRmIiwiaWF0IjoxNzA4NzEzNTQwLCJleHAiOjE3MDg3MTcxNDB9.byFQTkAXTueGJp3DeSDzrJ5J2zdF7ZJfyFk-yiCeU7M", "original_file_name": "How to use Quivr to talk to Quivrs Telemetry.pdf"}]}', NULL),
('cf89cebd-c304-4f7c-b05f-8f83bb7421b8', '8c7b4140-f400-4954-ad5d-26158d21dfcb', 'How many unique users per day on the telemetry of Quivr?', 'The query was used to count the number of unique users per day in the telemetry data for Quivr. The response shows the number of unique users for each day in the data set. For example, on February 8, 2024, there were 22 unique users, and on February 23, 2024, there were 67 unique users. This information can help track user engagement and activity on different days.', '2024-02-23 18:39:23.7266', '8d7866dc-fdb9-4bb3-9fda-4f968e3afe0f', NULL, NULL, NULL),
('64ea1d42-fb7a-4dbb-be54-cecb3941fd8c', '8c7b4140-f400-4954-ad5d-26158d21dfcb', 'send an email to my boss about this', 'I can certainly help you draft an email to inform your boss about the unique user counts in Quivr''s telemetry. Remember, you''ll need to send the email through your own email client or system, as I can''t directly send emails for you. Here''s a draft you might consider:
---
Subject: Daily Unique User Insights from Quivr Telemetry
Dear [Boss''s Name],
I hope this message finds you well. I am writing to provide an update on our recent analysis of the telemetry data from Quivr, specifically focusing on the daily count of unique users.
Based on our findings, there has been a noticeable fluctuation in the number of unique users engaging with our platform daily. For example, on February 8, 2024, we observed a total of 22 unique users. This number saw a significant increase by February 23, 2024, where we counted 67 unique users accessing our services.
These variations offer us valuable insights into user engagement trends and highlight specific days or periods of increased activity. Understanding these patterns can aid us in optimizing our user outreach and support strategies, tailoring our offerings more effectively to meet user demand, and perhaps even in pinpointing potential opportunities for special promotions or updates.
I would recommend we delve deeper into this data to identify any correlating factors or events that may account for these fluctuations. This could involve analyzing marketing campaign impacts, feature rollouts, or external events influencing user interaction.
Please let me know if you would like a more detailed report on this data or if there are any specific aspects you would like us to explore further. I believe by leveraging this telemetry data, we can significantly enhance our user experience and operational strategies.
Thank you for your attention to this matter. I look forward to your guidance on the next steps.
Best regards,
[Your Name]
---
Remember to replace placeholder terms like "[Boss''s Name]" and "[Your Name]" with the actual names before sending the email. Also, make sure any specific details mentioned align with the actual data and context of your inquiry into Quivr''s telemetry.', '2024-02-23 18:39:47.453767', 'aebe9ff4-77de-4580-9f60-c3099a3275a7', NULL, NULL, NULL);
--
-- Data for Name: composite_brain_connections; Type: TABLE DATA; Schema: public; Owner: postgres
--
--
-- Data for Name: integrations; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."integrations" ("created_at", "integration_name", "integration_logo_url", "connection_settings", "id", "description", "integration_type", "max_files") VALUES
('2024-02-23 05:09:00.14781+00', 'gpt4', 'https://quivr-cms.s3.eu-west-3.amazonaws.com/1681038325chatgpt_logo_transparent_d0daa72d1c.png', NULL, 'ea9d6e1a-3a47-42a2-bf8e-9f4b53f62a83', 'Default description', 'custom', 0);
--
-- Data for Name: users; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."users" ("id", "email") VALUES
('39418e3b-0258-4452-af60-7acfcc1263ff', 'admin@quivr.app');
--
-- Data for Name: integrations_user; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."integrations_user" ("id", "created_at", "user_id", "brain_id", "integration_id", "settings", "credentials") VALUES
(3, '2024-02-23 05:09:43.476044+00', '39418e3b-0258-4452-af60-7acfcc1263ff', 'aebe9ff4-77de-4580-9f60-c3099a3275a7', 'ea9d6e1a-3a47-42a2-bf8e-9f4b53f62a83', '{}', NULL);
--
-- Data for Name: knowledge; Type: TABLE DATA; Schema: public; Owner: postgres
--
--
-- Data for Name: models; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."models" ("name", "price", "max_input", "max_output") VALUES
('gpt-3.5-turbo-0125', 1, 10000, 1000),
('gpt-4-0125-preview', 1, 4000, 4000);
--
-- Data for Name: notifications; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."notifications" ("id", "datetime", "chat_id", "message", "action", "status") VALUES
('e6755dde-932e-48d1-a949-4a3357ead3ca', '2024-02-21 02:17:47.998437', 'ec676cad-3c44-4da0-8090-dca235627ebb', NULL, 'UPLOAD', 'Pending');
--
-- Data for Name: onboardings; Type: TABLE DATA; Schema: public; Owner: postgres
--
--
-- Data for Name: product_to_features; Type: TABLE DATA; Schema: public; Owner: postgres
--
--
-- Data for Name: user_daily_usage; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."user_daily_usage" ("user_id", "email", "date", "daily_requests_count") VALUES
('39418e3b-0258-4452-af60-7acfcc1263ff', 'admin@quivr.app', '20240123', 1),
('39418e3b-0258-4452-af60-7acfcc1263ff', 'admin@quivr.app', '20240221', 4),
('39418e3b-0258-4452-af60-7acfcc1263ff', 'admin@quivr.app', '20240222', 35),
('39418e3b-0258-4452-af60-7acfcc1263ff', 'admin@quivr.app', '20240223', 54);
--
-- Data for Name: user_identity; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."user_identity" ("user_id", "openai_api_key") VALUES
('39418e3b-0258-4452-af60-7acfcc1263ff', NULL);
--
-- Data for Name: user_settings; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO "public"."user_settings" ("user_id", "models", "max_brains", "max_brain_size", "is_premium", "api_access", "monthly_chat_credit") VALUES
('39418e3b-0258-4452-af60-7acfcc1263ff', '["gpt-3.5-turbo-0125", "gpt-4-0125-preview"]', 10, 50000000, false, false, 100);
--
-- Name: refresh_tokens_id_seq; Type: SEQUENCE SET; Schema: auth; Owner: supabase_auth_admin
--
SELECT pg_catalog.setval('"auth"."refresh_tokens_id_seq"', 3, true);
--
-- Name: integrations_user_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('"public"."integrations_user_id_seq"', 3, true);
--
-- Name: product_to_features_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('"public"."product_to_features_id_seq"', 1, false);
--
-- PostgreSQL database dump complete
--
RESET ALL;
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