feat(docs): update to new (#2465)

This pull request updates the API documentation to include new sections
on configuring Quivr and contacting the Quivr team. It also removes the
"API Brains" section from the documentation.
This commit is contained in:
Stan Girard 2024-04-22 08:34:11 -07:00 committed by GitHub
parent 7c694e6ed4
commit 0fd99fe5b2
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100 changed files with 205 additions and 1743 deletions

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import json
from typing import AsyncIterable
from uuid import UUID
from langchain_community.chat_models import ChatLiteLLM
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
from modules.brain.knowledge_brain_qa import KnowledgeBrainQA
from modules.chat.dto.chats import ChatQuestion
class ClaudeBrain(KnowledgeBrainQA):
"""This is the Notion brain class. it is a KnowledgeBrainQA has the data is stored locally.
It is going to call the Data Store internally to get the data.
Args:
KnowledgeBrainQA (_type_): A brain that store the knowledge internaly
"""
def __init__(
self,
**kwargs,
):
super().__init__(
**kwargs,
)
def calculate_pricing(self):
return 3
def get_chain(self):
prompt = ChatPromptTemplate.from_messages(
[
(
"system",
"You are Claude powered by Quivr. You are an assistant. {custom_personality}",
),
MessagesPlaceholder(variable_name="chat_history"),
("human", "{question}"),
]
)
chain = prompt | ChatLiteLLM(
model="claude-3-haiku-20240307", max_tokens=self.max_tokens
)
return chain
async def generate_stream(
self, chat_id: UUID, question: ChatQuestion, save_answer: bool = True
) -> AsyncIterable:
conversational_qa_chain = self.get_chain()
transformed_history, streamed_chat_history = (
self.initialize_streamed_chat_history(chat_id, question)
)
response_tokens = []
async for chunk in conversational_qa_chain.astream(
{
"question": question.question,
"chat_history": transformed_history,
"custom_personality": (
self.prompt_to_use.content if self.prompt_to_use else None
),
}
):
response_tokens.append(chunk.content)
streamed_chat_history.assistant = chunk.content
yield f"data: {json.dumps(streamed_chat_history.dict())}"
self.save_answer(question, response_tokens, streamed_chat_history, save_answer)

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---
openapi: post /api-key
---

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---
openapi: delete /api-key/{key_id}
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---
openapi: get /api-keys
---

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---
openapi: post /brains/{brain_id}/subscription/accept
---

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openapi: post /brains/
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openapi: post /brains/{brain_id}/subscription/decline
---

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openapi: post /brains/{brain_id}/documents
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openapi: get /brains/
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openapi: get /brains/{brain_id}/
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openapi: get /brains/default/
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openapi: get /brains/public
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openapi: post /brains/{brain_id}/default
---

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---
openapi: put /brains/{brain_id}/secrets-values
---

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openapi: put /brains/{brain_id}/
---

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openapi: get /brains/{brain_id}/subscription
---

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openapi: post /brains/{brain_id}/subscription
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openapi: post /chat/{chat_id}/question/answer
---

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openapi: post /chat
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openapi: post /chat/{chat_id}/question
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openapi: post /chat/{chat_id}/question/stream
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openapi: delete /chat/{chat_id}
---

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---
openapi: get /chat/{chat_id}/history
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openapi: get /chat
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---
openapi: put /chat/{chat_id}/metadata
---

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---
openapi: post /crawl
---

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openapi: get /brains/{brain_id}/users
---

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openapi: get /crawl/healthz
---

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---
openapi: get /healthz
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---
openapi: get /upload/healthz
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---
openapi: get /chat/healthz
---

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---
title: 'Introduction'
description: 'Example section for showcasing API endpoints'
---

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---
openapi: delete /knowledge/{knowledge_id}
---

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---
openapi: get /knowledge/{knowledge_id}/signed_download_url
---

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openapi: get /knowledge
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---
openapi: get /notifications/{chat_id}
---

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openapi: get /onboarding
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openapi: put /onboarding
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openapi: post /contact
---

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openapi: post /prompts
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---
openapi: get /prompts/{prompt_id}
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openapi: get /prompts
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openapi: put /prompts/{prompt_id}
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openapi: delete /brains/{brain_id}/subscription
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openapi: get /
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openapi: post /brains/{brain_id}/subscribe
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openapi: post /brains/{brain_id}/unsubscribe
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openapi: put /brains/{brain_id}/subscription
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openapi: post /upload
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openapi: get /user
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openapi: get /user/identity
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openapi: put /user/identity
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---
title: Environment File
sidebar_position: 8
title: Configuring Quivr
description: Learn how to configure Quivr to suit your needs
icon: gear
---
# Authentication Methods
Quivr offers three authentication methods when self-hosting. You can choose which authentication methods you want to offer to your users from these three options:
1. **Email/Password Authentication**
2. **Google Authentication**
3. **Magic Link Authentication**
To enable one or more of these methods, you need to configure the following environment variables in your `.env` file:
```bash
# Authentication Configuration
NEXT_PUBLIC_AUTH_MODES=magic_link,google_sso,password
```
Since each of these methods uses Supabase, you should configure your Supabase instance to support the chosen methods.
Please refer to the [Supabase documentation](https://supabase.com/docs/guides/auth) for more information on how to configure each authentication method.
# Environment variables
You have two environment files in the root of the project:
The .env file is used to configure the app server. It contains the following variables:
@ -49,20 +72,6 @@ The frontend environment file is used to configure the frontend application. It
- `NEXT_PUBLIC_SUPABASE_ANON_KEY`: The public 'anonymous' key for Supabase that is used in the frontend for services that don't require full user authentication.
- `NEXT_PUBLIC_GROWTHBOOK_CLIENT_KEY`: The client key for GrowthBook, which is a feature flagging and experimentation platform. The variable might be set to a default or placeholder value.
- `NEXT_PUBLIC_GROWTHBOOK_URL`: The URL for the GrowthBook service. This is also set to a default or placeholder value.
- `NEXT_PUBLIC_JUNE_API_KEY`: The API key for accessing June services, which is likely analytics or marketing related, again set to a default or placeholder value.
- `NEXT_PUBLIC_GA_ID`: The tracking ID for Google Analytics, which is used to monitor and track user interactions on the website.
- `NEXT_PUBLIC_E2E_URL`: The URL for end-to-end (E2E) testing, usually pointing to a testing environment.
- `NEXT_PUBLIC_E2E_EMAIL`: An email address used for end-to-end testing purposes.
- `NEXT_PUBLIC_E2E_PASSWORD`: A password used in conjunction with the E2E_EMAIL for testing authentication flows.
- `NEXT_PUBLIC_CMS_URL`: The URL to access the Content Management System (CMS) for the application.
- `NEXT_PUBLIC_STRIPE_PRICING_TABLE_ID`: An identifier for a pricing table in Stripe, which is a payment processing platform.

11
docs/contact-us.mdx Normal file
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---
title: Contact Us
description: Contact the Quivr team
icon: envelope
---
We would love to hear from you!
Please dont hesitate to reach out!
Shoot us a message at founders@quivr.app

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---
sidebar_position: 1
title: Question Answering
---
# Introduction to Chains
Quivr uses a framework called [Langchain](https://python.langchain.com/docs/introduction.html) for the majority of the interaction with the Large Language Models (LLMs).
Langchain provides functionality to connect multiple components such as LLMs, document retrievers, and other components together to form a "chain" of components.
They define a Chain very generically as a sequence of calls to components, which can include other chains. For example, a chain could be a sequence of calls to a document retriever, followed by a call to an LLM, followed by a call to a summarizer.
## Conversational Retrieval Chains
In Quivr we make use of the Conversational Retrieval Chain. These chains take in chat history and new questions and return an answer to the question. The algorithm for Conversational Retrieval Chains consists of three parts:
1. Creating a standalone question: The chat history and new question are combined to create a standalone question. This is done to ensure that relevant context is included in the retrieval step without unnecessary information from the whole conversation.
2. Retrieving relevant documents: The standalone question is passed to a retriever, which fetches relevant documents.
3. Generating a final response: The retrieved documents are passed to a language model (LLM) along with either the new question or the original question and chat history. The LLM generates a final response based on this input.
## OpenAI Functions
Quivr also uses OpenAI Functions for the newer models. OpenAI Functions allow us to define our own version of a lightweight Conversational Retrieval Chain. In this case, we ask the LLM if it can answer the question directly or if it needs either history or history and context. If it needs history and context, we pass the question and history to a retriever which performs a simple vector similarity search and then passes the retrieved documents to the LLM as context.
Using this method we can get similar results as the Conversational Retrieval Chain but with a much simpler implementation and less than 1/2 of the latency.
See the diagram below for a visual representation:
![OpenAI Functions](/images/open_ai_functions_tree.jpg)

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---
sidebar_position: 1
title: Guidelines
---
# Contributing to Quivr
Thanks for your interest in contributing to Quivr! Here you'll find guidelines for contributing and steps on how you can contribute.
## Community
We have a vibrant community over at [Discord](https://discord.gg/HUpRgp2HG8) where you can join discussions and ask questions related to Quivr.
## Roadmap and Issues
Before starting, please check our project [Roadmap](https://github.com/users/StanGirard/projects/5) to see if the issue or feature you're considering is already in the works.
You can report bugs or suggest features in the [Issues](https://github.com/quivrhq/quivr/issues). Please use the provided templates and labels for bug reports and feature requests.
## How to Contribute
Check the "Daily View" table in our project roadmap and feel free to pick any ticket in the backlog. Please let us know before you begin work on an issue so we can coordinate efforts and avoid duplicate work.
### Reporting Bugs
Bugs are tracked as GitHub issues and use the bug report template provided.
### Feature Requests
Enhancements are also tracked as GitHub issues and use the feature request template provided.
### Code Contributions
[![inlang status badge](https://badge.inlang.com/?url=github.com/quivrhq/quivr)](https://fink.inlang.com/https://badge.inlang.com/?url=github.com/quivrhq/quivr?ref=badge)
1. Fork the repository.
2. Make your changes in a new git branch.
3. Test your changes.
4. Commit your changes using descriptive commit messages.
5. Push your branch to GitHub.
6. In GitHub, submit a pull request to the original repository.
### Translations
Languages:
[Spanisch](https://inlang.com/editor/github.com/quivrhq/quivr?lang=en&lang=es)
[French](https://inlang.com/editor/github.com/quivrhq/quivr?lang=en&lang=fr)
[Portuguese](https://inlang.com/editor/github.com/quivrhq/quivr?lang=en&lang=pt-br)
[Russian](https://inlang.com/editor/github.com/quivrhq/quivr?lang=en&lang=ru)
[Chinese](https://inlang.com/editor/github.com/quivrhq/quivr?lang=en&lang=fr)
- Use the Fink editor as a translator https://inlang.com/editor/github.com/quivrhq/quivr
- Use ide extension as a developer https://inlang.com/m/r7kp499g/app-inlang-ideExtension
## Submission Guidelines
## Coding Rules
Please follow the coding guidelines specified below.
### Frontend Guidelines
#### Coding Conventions
- Respect the existing folder and file organizations.
- For components, use atomic design principles. Reuse existing components as much as possible before creating new ones.
- Stick to the ESLint configuration specified in the project. Avoid using eslint-disable comments for new code unless absolutely necessary.
#### Testing
- Write tests for your components using Vitest and React Testing Library. Try to cover as many edge cases as possible.
- Before submitting your contribution, run all tests to make sure they still pass.
### Backend Guidelines
#### Coding Conventions
- Structure your code using classes as much as possible.
- Follow standard Python coding conventions such as the ones defined in PEP 8.
- Comment wisely, providing useful context where necessary
- Always document your functions, classes and modules using docstrings.
- Type hint your functions and methods as much as possible in Python to make it more understandable and less prone to errors.
#### Testing
- Write unit tests for your functionality with pytest.
- Make sure all existing tests pass after you've made changes.
## Making a Pull Request
When making a pull request please respect the templates provided, reference the issue you're addressing, and include relevant visuals if possible.
## Contact
For any queries or discussions, please contact us via [Discord](https://discord.gg/HUpRgp2HG8).

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---
sidebar_position: 7
title: Tests
---
## Backend
- E2E Test
- User journeys
- Unit Test
- Test base classes for models for breaking change (Vectorstore, Brainpicking, etc...)
- Test endpoints
- Test utility functions
- Test critical functions
- Chat related functions
How:
- Pytest
### 🐛 Debugging the backend
The backend is running in a docker container. To debug the backend, you can attach a debugger to the container. The debugger server runs on port `5678`. The backend is started in dev mode with `make dev`.
#### Debug with VSCode
The configuration for this is already set up in the `launch.json` file in the `.vscode` folder. After you started the project in dev mode with `make dev` you can run a debugging session using the `Python: Remote attach` configuration.
## Frontend
- Functional tests
- Good rendering of components
- Backend call is made
- State is updated
- User can interact with the component
How:
- Vitest
- RTL (React Testing Library)

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---
sidebar_position: 3
title: Authentication
---
# Authentication Methods
Quivr offers three authentication methods when self-hosting. You can choose which authentication methods you want to offer to your users from these three options:
1. **Email/Password Authentication**
2. **Google Authentication**
3. **Magic Link Authentication**
To enable one or more of these methods, you need to configure the following environment variables in your `.env` file:
```bash
# Authentication Configuration
NEXT_PUBLIC_AUTH_MODES=magic_link,google_sso,password
```
Since each of these methods uses Supabase, you should configure your Supabase instance to support the chosen methods.
Please refer to the [Supabase documentation](https://supabase.com/docs/guides/auth) for more information on how to configure each authentication method.

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---
sidebar_position: 1
title: Create a brain
---
To create a brain, you need to make a POST request to the `/brains/` endpoint. This endpoint requires authentication, and you need to provide the following parameters in the request body:
- `name` (Optional): The name of the brain. If not provided, it defaults to "Default brain."
- `description` (Optional): A description of the brain. If not provided, it defaults to "This is a description."
- `status` (Optional): The status of the brain, which can be "private" or another value of your choice. If not provided, it defaults to "private."
- `model` (Optional): The model to use for the brain.
- `temperature` (Optional): The temperature setting for the brain. If not provided, it defaults to 0.0.
- `max_tokens` (Optional): The maximum number of tokens for the output. If not provided, it defaults to 256.
- `openai_api_key` (Optional): An API key for OpenAI. If not provided, it defaults to None.
- `prompt_id` (Optional): A UUID associated with a prompt.
Here's an example request using `curl`:
```http
POST /brains/ HTTP/1.1
Host: your-api-url
Authorization: Bearer YOUR_ACCESS_TOKEN
Content-Type: application/json
{
"name": "My Custom Brain",
"description": "This is my brain description",
"status": "private",
"model": "gpt-3.5-turbo",
"temperature": 0.8,
"max_tokens": 512,
"openai_api_key": "YOUR_OPENAI_API_KEY",
"prompt_id": "YOUR_PROMPT_UUID"
}
```

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---
sidebar_position: 4
title: Get a Brain
---
To get a brain, you need to make a GET request to the following endpoints.
### Retrieve a Specific Brain by ID
To retrieve details of a specific brain by its ID, make a GET request to the following endpoint:
```http
GET /brains/{brain_id}/
```
### Retrieve the Default Brain
When working with the default brain for the current user, you can make a GET request to the following endpoint:
```http
GET /brains/default/
```

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---
sidebar_position: 3
title: Set a Default Brain
---
To set a brain as the default for the current user, you need to make a POST request to the following endpoint:
Replace `{brain_id}` with the unique identifier of the brain you want to set as the default.
### Request Parameters
You should include the following parameters in the request:
- **brain_id**: The unique identifier (UUID) of the brain you want to set as the default.
### Example Request
```http
POST /brains/{brain_id}/default HTTP/1.1
Host: your-api-host.com
Authorization: Bearer YOUR_ACCESS_TOKEN
```

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---
sidebar_position: 2
title: Update a Brain
---
To update a brain, you need to make a PUT request to the following endpoint:
`/brains/{brain_id}/`
Replace `{brain_id}` with the unique identifier of the brain you want to update.
### Request Parameters
You should include the following parameters in the request:
- **brain_id**: The unique identifier (UUID) of the brain you want to update.
- **Authorization Header**: You must include a valid bearer token in the Authorization header to authenticate the request. This token can be obtained by following the authentication process.
- **Brain Update Data**: In the request body, you should provide the data you want to update for the brain. You can include the following optional fields:
- **name**: The name of the brain.
- **description**: A description of the brain.
- **temperature**: The temperature setting for the brain.
- **model**: The model used by the brain.
- **max_tokens**: The maximum number of tokens for generated responses.
- **openai_api_key**: An optional API key associated with the brain.
- **status**: The status of the brain, which can be "public" or "private."
- **prompt_id**: An optional UUID that associates the brain with a specific prompt.
### Example Request
```http
PUT /brains/{brain_id}/ HTTP/1.1
Host: your-api-host.com
Authorization: Bearer {your_access_token}
Content-Type: application/json
{
"name": "Updated Brain Name",
"description": "Updated brain description.",
"temperature": 0.7,
"model": "gpt-3.5-turbo",
"max_tokens": 150,
"openai_api_key": "your-api-key",
"status": "private",
"prompt_id": "123e4567-e89b-12d3-a456-426655440000"
}
```

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---
sidebar_position: 4
title: Chat system
---
**URL**: https://api.quivr.app/chat
**Swagger**: https://api.quivr.app/docs
## Overview
Users can create multiple chat sessions, each with its own set of chat messages. The application provides endpoints to perform various operations such as retrieving all chats for the current user, deleting specific chats, updating chat attributes, creating new chats with initial messages, adding new questions to existing chats, and retrieving the chat history. These features enable users to communicate and interact with their data in a conversational manner.
1. **Retrieve all chats for the current user:**
- HTTP method: GET
- Endpoint: `/chat`
- Description: This endpoint retrieves all the chats associated with the current authenticated user. It returns a list of chat objects containing the chat ID and chat name for each chat.
2. **Delete a specific chat by chat ID:**
- HTTP method: DELETE
- Endpoint: `/chat/{chat_id}`
- Description: This endpoint allows deleting a specific chat identified by its chat ID.
3. **Update chat attributes:**
- HTTP method: PUT
- Endpoint: `/chat/{chat_id}/metadata`
- Description: This endpoint is used to update the attributes of a chat, such as the chat name.
4. **Create a new chat with initial chat messages:**
- HTTP method: POST
- Endpoint: `/chat`
- Description: This endpoint creates a new chat with initial chat messages. It expects the chat name in the request payload.
5. **Add a new question to a chat:**
- HTTP method: POST
- Endpoint: `/chat/{chat_id}/question`
- Description: This endpoint allows adding a new question to a chat. It generates an answer for the question using different models based on the provided model type.
Models like gpt-4-0613 and gpt-3.5-turbo-0613 use a custom OpenAI function-based answer generator.
![Function based answer generator](/images/answer_schema.png)
6. **Get the chat history:**
- HTTP method: GET
- Endpoint: `/chat/{chat_id}/history`
- Description: This endpoint retrieves the chat history for a specific chat identified by its chat ID.

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---
sidebar_position: 5
title: Error Handling
---
**URL**: https://api.quivr.app/chat
**Swagger**: https://api.quivr.app/docs
## Overview
This page provides information about common error codes, their descriptions, and examples of scenarios where these errors may occur.
| Error Code | Description |
| ---------- | --------------------------------------------------------------------------- |
| 401 | Unauthorized: The request lacks valid authentication credentials. |
| 403 | Forbidden: The requested operation is not allowed. |
| 422 | Unprocessable Entity: The request is well-formed but contains invalid data. |
| 500 | Internal Server Error: An unexpected error occurred on the server. |
## Error Code: 401
**Description**: The request lacks valid authentication credentials or the provided token/api key is invalid.
Example Scenarios:
- Missing or invalid authentication token/api key.
- Expired authentication token.
## Error Code: 403
**Description**: The requested operation is forbidden due to insufficient privileges or credentials missing.
Example Scenarios:
- Attempting to access a resource without proper authorization.
- Insufficient permissions to perform a specific action.
## Error Code: 422
**Description**: The request is well-formed, but contains invalid data or parameters.
Example Scenarios:
- Invalid input data format.
- Required fields are missing or have incorrect values.
## Error Code: 500
**Description**: An unexpected error occurred on the server.
Example Scenarios:
- Internal server error due to a server-side issue.
- Unhandled exceptions or errors during request processing.

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---
sidebar_position: 1
title: API key
---
To use the Quivr API, you need to get an API key. You can get one by following these steps:
1. Go to [user settings page](https://www.quivr.app/user)
2. Generate a new API key by clicking on the "Create new Key" button

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---
sidebar_position: 2
title: API
---
**URL**: https://api.quivr.app
**Swagger**: https://api.quivr.app/docs
## Overview
This documentation outlines the key points and usage instructions for interacting with the API backend. Please follow the guidelines below to use the backend services effectively.
## Usage Instructions
1. Standalone Backend
- The backend can now be used independently without the frontend application.
- Users can interact with the API endpoints directly using API testing tools like Postman.
2. Generating API Key
- To access the backend services, you need to sign in to the frontend application.
- Once signed in, navigate to the `/user` page to generate a new API key.
- The API key will be required to authenticate your requests to the backend.
3. Authenticating Requests
- When making requests to the backend API, include the following header:
- `Authorization: Bearer {api_key}`
- Replace `{api_key}` with the generated API key obtained from the frontend.
4. Future Plans
- The development team has plans to introduce additional features and improvements.
- These include the ability to delete API keys and view the list of active keys.
- The GitHub roadmap will provide more details on upcoming features, including addressing active issues.
5. API Key Expiration
- Each API key has a daily expiration.
- The expiration is based on Coordinated Universal Time (UTC) to avoid timezone issues.
- After the expiration time, typically at midnight UTC, you will need to regenerate the API key to continue using the backend services.
- Once the capability to delete keys is implemented, you will have the option to delete keys manually.
Please refer to the official GitHub repository and the project roadmap for more information and updates on the backend services.

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---
title: Generate Images
---
You can use Quivr to Generate Images using Dall-E 3 from OpenAI or any other API based image generation tool.
This allows you to leverage image generation by creating a brain that is connected to Dall-E.
## OpenAI
<Info>
In order to have image generation in Quivr we will create a brain that is
connected to an API. You can find more info on this types of brains
[here](/getting-started/api-based-brains)
</Info>
<Steps>
<Step title="Create OpenAI Account">
Create an account on [OpenAI](https://platform.openai.com/)
</Step>
<Step title="Credit Card">
To get access to image generation, add your credit card in the `billing`
section
</Step>
<Step title="Create API Key">Create on API Key and save the result</Step>
</Steps>
<Warning>Do not share your API Key</Warning>
## Create a brain
Now it is time to create an App brain. This type of brain allows you to interact with APIs. And that is exactly what we need to do now. Let's get started.
<Warning>
Generating images costs around 2cts per image. Be carefull or you'll have a
surprised bill.
</Warning>
<Steps>
<Step title="Create a new Brain">
Go to the [Brains](https://www.quivr.app/studio) page and click on `Create
Brain`
</Step>
<Step title="Choose App Brain">
Select `App (Through API)` and click on `Next`
</Step>
<Step title="Name & Prompt">
1. Give your brain a name. 2. Add this as your description. ``` You generate
only one image and use markdown to display the url sent as a result and you
need to keep the entire url with all the parameters for the image to be
displayed correctly. Do not remove the signature and password in the url of
the image as it is a signed url. Also return the revised prompt below the
image in italic. If the user ask for a modification use the previous prompt
generated as base ``` 3. Click on `Next`
</Step>
<Step title="URL">
1. Select `POST` as the method 2. Add this as the url
`https://api.openai.com/v1/images/generations`
<img src="/images/openai-brain-url.png" />
</Step>
<Step title="Parameters">
1. Add `prompt` as a parameter and click on `Required`
<ParamField path="prompt" type="string">
Description of the image to generate
</ParamField>
2. Add `size` as a parameter and click on `Required`
<ParamField path="size" type="string">
By default 1024x1024 . But images can have a size of 1024x1024 (square),
1024x1792 (vertical) or 1792x1024 (horizontal) pixels
</ParamField>
3. Add `model` as a parameter and click on `Required`
<ParamField path="model" type="string">
Either dall-e-3 or dall-e-2. By default dall-e-3
</ParamField>
<img src="/images/openai-brain-params.png" />
</Step>
<Step title="Secrets">
1. Add `Authorization` as a secret
<ParamField path="Authorization" type="string">
Bearer YOUR_API_KEY
</ParamField>
**Add your API Key in the value** 2. Add `Content-Type` as a secret and
click on `Required`
<ParamField path="Content-Type" type="string">
application/json
</ParamField>
**Add `application/json` in the value**
<img src="/images/openai-brain-secrets.png" />
</Step>
<Step title="Create">Click on `Create`</Step>
<Step title="Generate your image">
Go to the chat and ask a question to your newly created brain.
<Tip>
You might have to type `@` and select your brain to be able to ask a
question to it.
</Tip>
<img src="/images/openai-brain-chat.png" />
</Step>
</Steps>
You can now use this brain to generate images. You can also use it to generate images in your own app throught the API.
Don't hesitate to share your creations on [Twitter](https://twitter.com/quivr_brain).
<Snippet file="commercial.mdx" />

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---
title: Selling your knowledge
description: Master the art of monetizing your expertise by creating and sharing specialized knowledge databases through Quivr, integrated with Stripe for seamless payment processing. Unlock the potential of your intellectual assets and transform your insights into income.
---
## Selling Your Knowledge: Maximize Revenue with Expertise Sharing through Quivr
<Info>
Leverage your expertise for income: This definitive guide details how to effectively monetize your knowledge using Quivr's advanced sharing capabilities and Stripe's secure payment processing.
</Info>
## Introduction: Unlocking the Value of Your Expertise
In today's digital landscape, where information is as valuable as currency, positioning yourself as an expert can lead to significant revenue opportunities. Quivr presents an innovative platform for experts eager to monetize their skills and insights by creating "brains", or specialized knowledge bases. These repositories of wisdom can be shared for a fee, utilizing the power of Quivr's sharing features alongside Stripe's trusted payment processing. This guide is designed to navigate you through the process of transforming your expertise into a profitable business venture.
## Comprehensive Steps to Monetize Your Knowledge with Quivr
<Steps>
<Step title="Initiate by Creating a Quivr Brain">
Embark on your journey by establishing a Quivr brain, a dedicated space for your specialized knowledge. Categorize your brains to cover diverse areas like 'Innovative Technology Solutions', 'Advanced Business Management Strategies', etc., making it relevant and appealing to various learning enthusiasts.
</Step>
<Step title="Populate Your Brain with Rich Content">
Enrich your Quivr brain with comprehensive files and detailed information. Arrange your content strategically to facilitate an effortless learning experience for your subscribers, enhancing their engagement and satisfaction.
</Step>
<Step title="Customize Access with Privacy Settings">
Utilize Quivr's flexible privacy options to keep your brains exclusive. Ensure that only those who subscribe and pay can access your valuable content, maintaining its exclusivity and value.
</Step>
<Step title="Seamless Monetization with Stripe Integration">
Implement a subscription model through Stripe to generate a steady income stream. Determine your price point, like a monthly subscription fee, and offer access to your unparalleled knowledge brain.
</Step>
<Step title="Streamline Access Management with Webhooks">
Automate subscriber access by leveraging webhooks. Upon payment confirmation from Stripe, trigger an API call to Quivr to grant immediate and seamless access to your content, ensuring a smooth customer experience.
</Step>
<Step title="Continuously Update and Expand Your Knowledge Base">
Dedicate yourself to regularly enhancing and updating your brain with the latest trends, data, and insights. Keep your content fresh and relevant to retain subscriber interest and attract new audiences.
</Step>
</Steps>
<Info>
Adhere to these meticulous steps to transform your knowledge into a lucrative asset using Quivr. Continuously engaging and updating your content is crucial for maintaining a loyal subscriber base and attracting new customers.
</Info>
## Advantages of Monetizing Expertise Through Quivr
Harnessing the power of Quivr to sell your knowledge offers numerous benefits. This section outlines these advantages using Quivr's dynamic documentation features.
<CardGroup cols={3}>
<Card title="Continuous Income Stream" icon="💰">
Generate a sustainable and scalable revenue model by monetizing your expertise. This continuous income stream can grow with your subscriber base and chosen pricing strategy.
</Card>
<Card title="Amplified Reach" icon="🌍">
Share your knowledge globally, transcending geographical boundaries. This wider reach expands your professional influence and establishes you as a leader in your field.
</Card>
<Card title="Structured Knowledge Sharing" icon="📚">
Benefit from Quivr's user-friendly platform to organize and present your knowledge in a structured, easily accessible manner.
</Card>
</CardGroup>
<CardGroup cols={2}>
<Card title="Global Knowledge Contribution" icon="🌐">
Contribute to the democratization of knowledge by making your specialized information accessible to a wider audience, enhancing the global knowledge ecosystem.
</Card>
<Card title="Community Building" icon="🤝">
Engage with and grow a community around your expertise, fostering valuable interactions and collaborative learning opportunities.
</Card>
</CardGroup>
<Steps>
<Step title="Flexibility and Control">
Enjoy complete control over your content, access, and pricing, allowing you to tailor your offerings to your and your audience's needs.
</Step>
<Step title="Easy Payment Integration">
Utilize Quivr's seamless integration with Stripe for secure and hassle-free financial transactions, focusing more on content creation.
</Step>
<Step title="Advanced Learning Technology">
Leverage Quivr's cutting-edge technology to enhance the learning experience, making your content more engaging and impactful.
</Step>
</Steps>
<Info>
By leveraging these advantages, monetizing your expertise through Quivr is not only financially rewarding but also enriches your professional presence and impact in the global knowledge marketplace.
</Info>
<Info>
The value you provide is amplified by the uniqueness and quality of your content. As you enrich your brain with exclusive insights and up-to-date knowledge, you elevate its worth, making your expertise a sought-after commodity in a competitive digital market.
</Info>

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---
title: Zapier
---
[Zapier](https://zapier.com/) is an awesome tool for automation. And thanks to the[ API Brains](/getting-started/api-based-brains) feature, you can use it to empower your brain.
[Quivr](https://quivr.app) can now easily interact with 1000+ apps thanks to Zapier.
## Zapier to send Telegram messages
In this example, we will use Zapier to send a message to a Telegram channel when a new task is created in Quivr.
<Steps>
<Step title="Create a new Zap in Zapier">
Create a new Zap in Zapier. Select the **Webhooks by Zapier** app as the trigger app.
</Step>
<Step title= "Select the trigger event">
Select the **Catch Hook** event.
<img src="/images/zapier-catch-hook.png"/>
</Step>
<Step title= "Copy the webhook URL">
Copy the webhook URL.
<img src="/images/zapier-copy-webhook-url.png"/>
</Step>
<Step title="Add Telegram as the action app">
Add the **Telegram** app as the action app.
<img src="/images/zapier-add-telegram.png"/>
</Step>
<Step title="Add an action to telegram">
In the action field, select **Send Channel Message** and the message you want to send. Should be `Message`.
<img src="/images/zapier-add-telegram-action.png"/>
</Step>
<Step title="Create a brain as API">
Create a brain as API. You can follow the [Generate Image](/examples/generate-images) example.
1. Description should be `Your goal is to allow the user to Send a message to telegram. Only send one message per user request. `
2. Method should be `POST`
3. URL should be the webhook URL you copied from Zapier
4. Params should be:
<ParamField path="message" type="string">
message to be sent. By Default the value is a 'Hello, World! This is Quivr' else add what the user tells you to.
</ParamField>
</Step>
<Step title="Test the brain">
Test the brain. You should see a message in your Telegram channel.
<img src="/images/zapier-test-brain.png"/>
<img src="/images/zapier-result-telegram.png"/>
</Step>
</Steps>
Enjoy!
<Snippet file="commercial.mdx" />

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---
title: API Brains
---
<Info>
A few brains were harmed in making API based brains 🤯
</Info>
Quivr allows to create an API based brain. These brains can automatically call APIs to retrieve information and use it to answer questions. While an API needs to be called but all required information is not available in the conversation, Quivr will ask user to provide them before calling the API.
## Demo
<video width="100%" height="auto" controls>
<source src="/video/api-brain-demo.mp4" type="video/mp4"/>
</video>
## Configuration
### Url
When creating an API based brain, you need to provide the URL of the API. This is the URL that will be called when the API is invoked.
### Method
The method to use when calling the API. Allowed values are `GET`, `POST`, `PUT`, `DELETE`.
### Params
These values are passed to the API as the request body. Values are inferred from the conversation. If all required info are not furnished, the call will ask user to provide them before calling the API.
<img src="/images/api-brain-params.png" alt="API Brain Params" width="100%"/>
## Search Params
These values are passed to the API as search params. Values are inferred from the conversation. If all required info are not furnished, the call will ask user to provide them before calling the API.
Example of search param: `https://api.example.com?param1=value1&param2=value2`
<img src="/images/api-brain-search-params.png" alt="API Brain Search Params" width="100%"/>
## Secrets
Secrets are safely stored in a vault storage database and are not exposed to the LLM. They are passed to the API as headers.
<img src="/images/api-brain-secrets.png" alt="API Brain Secrets" width="100%"/>

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---
title: "Privacy"
---
You can rest assured that we do not

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---
title: Mintlify Cheat Sheet
---
This is a cheat sheet of what is used for making the Mintlify documentation on Quivr.
Use these components to make the website look like the documentation.
Accordion example to group information
<AccordionGroup>
<Accordion title="FAQ without Icon">
Example One
</Accordion>
<Accordion title="FAQ with Icon" icon="alien-8bit">
Check out the [Accordion](/content/components/accordion) docs for all the supported props.
</Accordion>
<Accordion title="FAQ without Icon">
Check out the [Accordion](/content/components/accordion) docs for all the supported props.
</Accordion>
</AccordionGroup>
Cards and cards groups that use font awesome icons
<CardGroup cols={2}>
<Card title="First Card" icon="square-1">
Neque porro quisquam est qui dolorem ipsum quia dolor sit amet
</Card>
<Card title="Second Card" icon="square-2">
Lorem ipsum dolor sit amet, consectetur adipiscing elit
</Card>
<Card title="Third Card" icon="square-3">
Ut enim ad minim veniam, quis nostrud exercitation ullamco
</Card>
<Card title="Fourth Card" icon="square-4">
Excepteur sint occaecat cupidatat non proident
</Card>
</CardGroup>
Steps
<Steps>
<Step title="First Step">
These are instructions or content that only pertain to the first step.
</Step>
<Step title="Second Step">
These are instructions or content that only pertain to the second step.
</Step>
<Step title="Third Step">
These are instructions or content that only pertain to the third step.
</Step>
</Steps>
Use callouts to add eye-catching context to your content
Note Callouts
This adds a note in the content
<Note>This adds a note in the content</Note>
Warning Callouts
This raises a warning to watch out for
<Warning>This raises a warning to watch out for</Warning>
Info Callouts
This draws attention to important information
<Info>This draws attention to important information</Info>
Tip Callouts
This suggests a helpful tip
<Tip>This suggests a helpful tip</Tip>
Image Frame
Use the Frame component to wrap images or other components in a container.
Frames are very helpful if you want to center an image.
Customize component styles with Tailwind CSS. Simply add className="tailwind styles" onto the component
<Frame>
<img src="/path/image.jpg" />
</Frame>
And Even Tabs
<Tabs>
<Tab title="First Tab">
☝️ Welcome to the content that you can only see inside the first Tab.
</Tab>
<Tab title="Second Tab">
✌️ Here's content that's only inside the second Tab.
</Tab>
<Tab title="Third Tab">
💪 Here's content that's only inside the third Tab.
</Tab>
</Tabs>
End of the cheat sheet.

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---
title: "Features"
---
## Welcome to Quivr 👋
Quivr is a **knowledge management** tool that allows you to **store** and **search** your knowledge.
<Frame caption="Quivr Homepage">
<img src="/images/homepage.png" alt="Quivr"/>
</Frame>
## How can you leverage Quivr ? 🚀
You can use Quivr to:
<AccordionGroup>
<Accordion title="Search in files" icon="searchengin">
Quivr allows you to easily ask questions about your files
</Accordion>
<Accordion title="Cross-search" icon="shuffle">
Tired of Cross referencing your information between files ?
</Accordion>
<Accordion title="Store your knowledge" icon="database">
Store all your knowledge in one place
</Accordion>
<Accordion title="Share your knowledge" icon="share">
Share your knowledge with your team by leveraging the collaboration features
</Accordion>
</AccordionGroup>
## Features 🤗
### Public & Private Brains
You can create **public** and **private** brains.
<AccordionGroup>
<Accordion title="Public" icon="globe">
A public brain is a brain that is searchable by everyone on Quivr. You can make a brain public by clicking on the **public** button on the brain page.
</Accordion>
<Accordion title="Private" icon="lock">
A private brain is a brain that is only searchable by you. You can make a brain private by clicking on the **private** button on the brain page.
</Accordion>
</AccordionGroup>
You can share your brains with a set of people by using their emails. This means that you can **collaborate** with your team on a brain without making it public.
### Ask Questions to a Brain
Quivr is designed to answer your questions by leveraging the knowledge that you've uploaded to it. Here's how you can ask questions:
<Steps>
<Step title="Access Quivr" icon="searchengin">
Go to [Quivr](https://quivr.app) and login to your account.
</Step>
<Step title="Select a Brain" icon="database">
Select the brain you want to ask a question to. A brain in Quivr is a knowledge base that you or someone else has created. If you haven't created a brain yet, you'll need to do that first.
</Step>
<Step title="Ask Your Question" icon="question">
There should be a text input field where you can type your question. Enter your question into this field.
</Step>
<Step title="Submit Your Question" icon="check">
Submit your question. Depending on the platform, this might involve pressing enter, clicking a button, or performing some other action.
</Step>
<Step title="Wait for the Answer" icon="clock">
Quivr will process your question and provide an answer. The time it takes to get an answer will depend on the complexity of your question and the size of the brain you're asking.
</Step>
</Steps>
Remember, Quivr is only as smart as the knowledge you've given it. If it doesn't know the answer to a question, consider adding more information to your brain.
### Custom Personality
You can **customize** the personality of Quivr by changing the **prompt** of your brain. You could tell your brain to always answer with a **funny** or **serious** tone or act like a **robot** or a **human**.
To customize the prompt of your brain in Quivr, you would typically follow these steps:
<Steps>
<Step title="Brain Settings">
Navigate to the brain settings. This is usually accessible from the main interface where your brains are listed.
</Step>
<Step title="Prompt">
Look for a setting or field named "Prompt". This is where you can define the custom prompt for your brain.
</Step>
<Step title="Enter Prompt">
Enter your desired custom prompt. This could instruct your brain to always answer with a certain tone (funny, serious, etc.) or to behave like a certain character (robot, human, etc.).
</Step>
<Step title="Save Changes">
Save your changes. There should be a button or option to save or apply your changes.
</Step>
</Steps>
<Snippet file="commercial.mdx" />

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Before

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View File

@ -1,6 +1,7 @@
---
sidebar_position: 2
title: Install
title: Quickstart
description: Get your own assistant in less than 5 seconds
icon: bolt
---
## Getting Started 🚀

View File

@ -1,6 +1,7 @@
---
title: Overview
title: Introduction
description: Quivr is your Second Brain that can act as your personal assistant.
icon: arrow-right-to-arc
---
Welcome to the documentation of Quivr! This is the place where youll find help, guidance and support for collaborative software development. Whether youre involved in an open-source community or a large software team, these resources should get you up and running quickly!
@ -79,22 +80,22 @@ Leverage Quivr to build your next generation of AI applications. Quivr is a plat
But it also acts as a second brain for your business, helping you to make better decisions, and to automate repetitive tasks.
<CardGroup cols={2}>
<Card title="Entreprise ChatGPT" href="/home/use-cases/entreprise-gpt">
<Card title="Entreprise ChatGPT" href="/use-cases/entreprise-gpt">
Empower your employees with a complete Private ChatGPT solution.
</Card>
<Card title="Content Generation" href="/home/use-cases/content-generation">
<Card title="Content Generation" href="/use-cases/content-generation">
Generate content for your business with Quivr.
</Card>
<Card title="Human Resources" href="/home/use-cases/hr">
<Card title="Human Resources" href="/use-cases/hr">
Harness the power of AI for your HR department.
</Card>
<Card title="Customer Support" href="/home/use-cases/customer-support">
<Card title="Customer Support" href="/use-cases/customer-support">
Automate repetitive tasks for your customer support.
</Card>
<Card title="Market Research" href="/home/use-cases/market-analysis">
<Card title="Market Research" href="/use-cases/market-analysis">
Unlock the power of market research with Quivr.
</Card>
<Card title="Project Management" href="/home/use-cases/project-management">
<Card title="Project Management" href="/use-cases/project-management">
Elevate your project management with Quivr.
</Card>
</CardGroup>

View File

@ -21,16 +21,6 @@
"name": "Try Quivr",
"url": "https://quivr.app"
},
"tabs": [
{
"name": "Developer Guide",
"url": "developers"
},
{
"name": "API Reference",
"url": "api-reference"
}
],
"anchors": [
{
"name": "Community",
@ -50,192 +40,25 @@
],
"navigation": [
{
"group": "Home",
"group": "Welcome to Quivr",
"pages": [
"home/intro",
"home/quickstart",
"intro",
"install",
"slackbot",
{
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"icon": "lightbulb",
"pages": [
"home/use-cases/entreprise-gpt",
"home/use-cases/content-generation",
"home/use-cases/hr",
"home/use-cases/market-analysis",
"home/use-cases/project-management"
]
}
]
},
{
"group": "Power-user",
"pages": [
"getting-started/brain",
"getting-started/api-based-brains",
"getting-started/sharing-brains",
{
"group": "Examples",
"pages": [
"examples/generate-images",
"examples/zapier",
"examples/sell-brains"
]
}
]
},
{
"group": "Overview",
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"developers/contribution/install",
"developers/contribution/stack",
"developers/contribution/test",
{
"group": "RAG",
"pages": ["developers/contribution/chains/qa"]
},
{
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"pages": [
"developers/contribution/llm/hugging-face",
"developers/contribution/llm/ollama"
"use-cases/entreprise-gpt",
"use-cases/content-generation",
"use-cases/hr",
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"use-cases/project-management"
]
},
"developers/contribution/guidelines"
]
},
{
"group": "Self Hosting",
"pages": ["developers/selfHosting/authentication"]
},
{
"group": "Integrating",
"pages": [
"developers/useQuivr/getting_started",
"developers/useQuivr/get_your_api_key",
"developers/useQuivr/error_handling",
"developers/useQuivr/chat",
{
"group": "Brains",
"pages": [
"developers/useQuivr/brain/create_a_brain",
"developers/useQuivr/brain/retrieve_brain_attributes",
"developers/useQuivr/brain/set_default_brain",
"developers/useQuivr/brain/update_a_brain"
]
}
]
},
{
"group": "API Reference",
"pages": [
{
"group": "Brain",
"pages": [
"api-reference/brain/retrieve-all-brains-for-user",
"api-reference/brain/create-new-brain",
"api-reference/brain/retrieve-public-brains",
"api-reference/brain/retrieve-default-brain",
"api-reference/brain/retrieve-brain-by-id",
"api-reference/brain/update-existing-brain",
"api-reference/brain/update-existing-brain-secrets",
"api-reference/brain/set-brain-as-default",
"api-reference/brain/get-question-context-for-brain",
"api-reference/brain/accept-invitation",
"api-reference/brain/decline-invitation"
]
},
{
"group": "Health",
"pages": [
"api-reference/health/healthz",
"api-reference/health/healthz-1",
"api-reference/health/healthz-2",
"api-reference/health/healthz-3"
]
},
{
"group": "Chat",
"pages": [
"api-reference/chat/get-chats",
"api-reference/chat/create-chat-handler",
"api-reference/chat/delete-chat",
"api-reference/chat/update-chat-metadata-handler",
"api-reference/chat/create-question-handler",
"api-reference/chat/create-stream-question-handler",
"api-reference/chat/get-chat-history-handler",
"api-reference/chat/add-question-and-answer-handler"
]
},
{
"group": "Crawl",
"pages": ["api-reference/crawl/crawl-endpoint"]
},
{
"group": "Onboarding",
"pages": [
"api-reference/onboarding/get-user-onboarding-handler",
"api-reference/onboarding/update-user-onboarding-handler"
]
},
"api-reference/root",
{
"group": "Upload",
"pages": ["api-reference/upload/upload-file"]
},
{
"group": "User",
"pages": [
"api-reference/user/get-user-endpoint",
"api-reference/user/get-user-identity-route",
"api-reference/user/update-user-identity-route"
]
},
{
"group": "API Key",
"pages": [
"api-reference/api-key/create-api-key",
"api-reference/api-key/delete-api-key",
"api-reference/api-key/get-api-keys"
]
},
{
"group": "BrainSubscription",
"pages": [
"api-reference/brainsubscription/get-user-invitation",
"api-reference/brainsubscription/invite-users-to-brain"
]
},
"api-reference/update-brain-subscription",
"api-reference/remove-user-subscription",
"api-reference/get-users-with-brain-access",
{
"group": "Subscription",
"pages": [
"api-reference/subscription/subscribe-to-brain-handler",
"api-reference/subscription/unsubscribe-from-brain-handler"
]
},
{
"group": "Prompt",
"pages": [
"api-reference/prompt/get-prompts",
"api-reference/prompt/create-prompt-route",
"api-reference/prompt/get-prompt",
"api-reference/prompt/update-prompt"
]
},
{
"group": "Notification",
"pages": ["api-reference/notification/get-notifications"]
},
{
"group": "Knowledge",
"pages": [
"api-reference/knowledge/list-knowledge-in-brain-endpoint",
"api-reference/knowledge/delete-endpoint",
"api-reference/knowledge/generate-signed-url-endpoint"
]
},
"api-reference/post-contact"
"configuring",
"tech-design",
"contact-us"
]
}
],

69
docs/slackbot.mdx Normal file
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@ -0,0 +1,69 @@
---
title: Slack Bot setup
description: Setup your own Slack Bot connected to Quivr
icon: slack
---
# How to Install a Slackbot on Slack
This guide will walk you through the steps to install the Quivr Slackbot on your Slack workspace.
<iframe width="560" height="315" src="https://www.youtube.com/embed/1yMe21vIl9E?si=OdmWw9vcqyGqs0KI" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
## Prerequisites
- Clone the Quivr Slackbot repository and install the requirements
- Have an ngrok account (for making the Slackbot accessible outside your local network)
- Have a Slack workspace where you want to install the Slackbot
## Step 1: Set up the Environment
1. Copy the `slackbot.env.example` file and rename it to `.env`.
## Step 2: Make the Slackbot Accessible
1. Use ngrok to make the Quivr Slackbot accessible outside your local network.
2. Save the generated URL for later use.
## Step 3: Create a New Slack App
1. Go to [api.slack.com](https://api.slack.com/) and create a new app.
2. Select "From an app manifest" and choose the workspace where you want to use the Slackbot.
3. Copy the contents of `app_manifest.json` from the Quivr repository and paste it into the app manifest field.
4. Click "Create" to create the app.
## Step 4: Configure the Slackbot
1. Copy the "Signing Secret" from the Slack app settings and paste it into the `.env` file.
2. Go to the "OAuth & Permissions" section and install the app to your workspace.
3. Copy the "Bot User OAuth Token" and paste it into the `.env` file.
4. Obtain a Quivr API key from the Quivr production environment and add it to the `.env` file.
## Step 5: Start the Quivr Slackbot
1. Run the command `python main.py` to start the Quivr Slackbot locally.
## Step 6: Configure Event Subscriptions
1. In the Slack app settings, go to the "Event Subscriptions" section.
2. Change the URL to the one provided by ngrok (e.g., `https://your-ngrok-url.ngrok.io/slack/events`).
3. Save the changes.
## Step 7: Enable Interactivity
1. In the Slack app settings, go to the "Interactivity & Shortcuts" section.
2. Enable interactivity and set the URL to `https://your-ngrok-url.ngrok.io/slack/interactive`.
3. Save the changes.
## Step 8: Customize the Slackbot (Optional)
1. You can change the name and background color of the Slackbot in the Slack app settings.
## Step 9: Test the Slackbot
1. Go to your Slack workspace and mention the Slackbot using `@quivr` (or the name you set).
2. Ask a question and select the brain you want to use (e.g., "quivr").
3. The Slackbot will provide an answer based on the selected brain.
Congratulations! You have successfully installed and configured the Quivr Slackbot on your Slack workspace. Enjoy using it to ask questions and get answers from your Quivr brains.

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@ -1,8 +1,9 @@
---
title: Stack
---
title: Technical Design
description: Learn how Quivr works under the hood
icon: microchip
---
Welcome to the official documentation of **Quivr**, the RESTful Second Brain crafted for efficiency, speed, and reliability. Designed for developers who prioritize performance and ease of use, Quivr leverages the robust capabilities of **FastAPI**.
## Backend Stack
@ -171,7 +172,4 @@ Your input is invaluable in shaping the future of Quivr. Connect with us:
</Tab>
</Tabs>
---
*Embrace the capabilities of Quivr, a tool designed to revolutionize your development workflow. Dive into a world where efficiency meets innovation.*
---