# Description
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# Description
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## Screenshots (if appropriate):
This pull request updates the parsing instructions in the `common.py`
file for the `llamaparse` feature. The previous parsing instruction for
transforming checkboxes into text has been modified to also extract
tables and transform them into key-value pairs. Additionally, the
instruction now allows for duplicate keys if needed. The example
instructions have also been updated to provide clearer examples for both
tables and checkboxes.
# Description
Change the prompt of the thoughts feature to have more steps.
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# Description
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## Screenshots (if appropriate):
---------
Co-authored-by: chloedia <chloedaems0@gmail.com>
This pull request adds a new component called ThoughtsButton for
displaying thoughts in the chat messages. The ThoughtsButton component
is used to show a tooltip with the thoughts text when the user hovers
over the button.
# Description
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## Screenshots (if appropriate):
# Description
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## Checklist before requesting a review
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## Screenshots (if appropriate):
Adds a new "Privacy & Compliance" page to the Quivr documentation.
- **Introduces a comprehensive overview** of Quivr's commitment to
privacy and compliance, including the open-source security model,
responsible telemetry use, row-level policy enforcement, local data
handling, and LLM compatibility.
- **Details the open-source security model**, emphasizing transparency
and community-driven security enhancements.
- **Explains the responsible use of telemetry**, highlighting minimal
data collection, anonymization, secure storage, and opt-out options.
- **Describes row-level policy enforcement** for database security,
ensuring controlled data access.
- **Clarifies local data handling**, ensuring all data remains local
with no external data transfer without user consent.
- **Highlights compatibility with any LLM**, including local server-run
models, offering flexibility for user needs.
- **Includes information on SOC2 compliance** through partnership with
Porter & Oneleet, aiming for compliance within 90 days for managed
instances.
---
For more details, open the [Copilot Workspace
session](https://copilot-workspace.githubnext.com/QuivrHQ/quivr?shareId=e9ecbf64-d06d-45b6-ab73-c04b9ed7916d).
This pull request refactors the generate_answer and generate_stream
functions in order to improve code readability and maintainability. It
also adds new fields to the cited_answer model and updates the system
message template.
# Description
Applying dark mode to icons in tiptap.
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## Screenshots:
<img width="906" alt="image"
src="https://github.com/QuivrHQ/quivr/assets/33584382/c8d86fa2-0f58-4c44-82d2-5162a5e025cd">
# Description
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- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
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also include relevant motivation and context.
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# Description
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# Description
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# Description
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# Description
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my feature works
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# Description
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my feature works
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- [ ] Any dependent changes have been merged
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# Description
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my feature works
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- [ ] Any dependent changes have been merged
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# Description
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## Screenshots (if appropriate):
This pull request fixes the sender email address in the
`resend_invitation_email` function in the `resend_invitation_email.py`
file. The `from` field has been changed to `sender` to ensure that the
correct email address is used when sending the invitation email.
This pull request updates the ChatLiteLLM model to "gpt-4o" and adds a
row-level security (RLS) optimization for notifications. It also
includes a new SQL script to drop and create a policy for allowing user
access to all notifications.
# Description
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my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
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my feature works
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## Screenshots (if appropriate):
# Description
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my feature works
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## Screenshots (if appropriate):
<!--
ELLIPSIS_HIDDEN
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----
| <a href="https://ellipsis.dev" target="_blank"><img
src="https://avatars.githubusercontent.com/u/80834858?s=400&u=31e596315b0d8f7465b3ee670f25cea677299c96&v=4"
alt="Ellipsis" width="30px" height="30px"/></a> | 🚀 This PR
description was created by [Ellipsis](https://www.ellipsis.dev) for
commit bb45566f8a. |
|--------|--------|
### Summary:
This PR updates the `useLanguageHook` and `UserSettingsProvider`
functions to use the `shortName` of the selected language when changing
the language and to retrieve and store the dark mode setting from and to
local storage, respectively.
**Key points**:
- Updated `useLanguageHook` in
`/frontend/app/user/components/LanguageSelect/hooks/useLanguageHook.ts`
to use `shortName` of selected language when changing language.
- Updated `UserSettingsProvider` in
`/frontend/lib/context/UserSettingsProvider/User-settings.provider.tsx`
to retrieve dark mode setting from local storage.
- Updated listener for `change` event on `mediaQueryList` in
`UserSettingsProvider` to store updated dark mode setting in local
storage.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
<!--
ELLIPSIS_HIDDEN
-->
---------
Co-authored-by: Zewed <dewez.antoine2@gmail.com>
This pull request adds support for the gpt-4o model to the existing
codebase. It includes changes to the BrainConfig, openAiFreeModels,
defineMaxTokens, model_compatible_with_function_calling, create_graph,
main, and process_assistant functions.
This pull request fixes the import statements for OllamaEmbeddings in
multiple files. The import statements are updated to use the correct
package name "langchain_community.embeddings" instead of
"langchain.embeddings.ollama". This ensures that the code can be
compiled and executed without any import errors.
This pull request adds comprehensive docstrings to the Brain classes
within the `backend/modules/brain/integrations` directory, enhancing
code documentation and readability. The changes include:
- **BigBrain (`Big/Brain.py`)**: Adds a class-level docstring explaining
the purpose and functionality of the BigBrain class, along with
method-level docstrings detailing the operations performed by each
method.
- **ClaudeBrain (`Claude/Brain.py`)**: Introduces a class-level
docstring that describes the ClaudeBrain class's integration with the
Claude model for conversational AI capabilities, and method-level
docstrings that clarify the purpose of each method.
- **GPT4Brain (`GPT4/Brain.py`)**: Updates include a detailed
class-level docstring outlining the GPT4Brain's integration with GPT-4
for real-time answers and tool support, along with method-level
docstrings explaining the functionality of each method.
- **NotionBrain (`Notion/Brain.py`)**: Adds a class-level docstring that
describes the NotionBrain's role in leveraging Notion data for
knowledge-based responses.
- **ProxyBrain (`Proxy/Brain.py`)**: Incorporates a class-level
docstring explaining the ProxyBrain's function as a dynamic language
model selector and method-level docstrings detailing the operations of
each method.
These additions ensure that each Brain class and its methods are
well-documented, providing clear insights into their purposes and
functionalities.
---
For more details, open the [Copilot Workspace
session](https://copilot-workspace.githubnext.com/QuivrHQ/quivr?shareId=b4e301ad-828e-4424-95ec-6e378d5d3849).
Updates the GPT-4 documentation and the `GPT4Brain` class to include
detailed information about the tools available for GPT4Brain and their
use cases.
- **Documentation (`docs/brains/gpt4.mdx`):**
- Adds a new section titled "Tools Available for GPT4Brain" that
describes specific tools: WebSearchTool, ImageGeneratorTool,
URLReaderTool, and EmailSenderTool.
- Provides use cases for each tool, demonstrating how they can be
utilized within GPT4Brain for various scenarios, such as generating
images, reading content from URLs, and sending emails.
- **Code (`backend/modules/brain/integrations/GPT4/Brain.py`):**
- Updates the class documentation to include information about the tools
available for GPT4Brain and outlines use cases for WebSearchTool,
ImageGeneratorTool, URLReaderTool, and EmailSenderTool.
- Maintains the existing functionality of the `GPT4Brain` class,
ensuring compatibility with the newly documented tools and use cases.
---
For more details, open the [Copilot Workspace
session](https://copilot-workspace.githubnext.com/QuivrHQ/quivr?shareId=2c2c1666-e5fb-4a06-bb08-ca967f4fe276).
# Description
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also include relevant motivation and context.
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## Screenshots (if appropriate):
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
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## Screenshots (if appropriate):
Updates the `docs/brains/gpt4.mdx` documentation to include detailed
instructions on adding a GPT-4 Brain to Quivr and configuring it within
the Supabase integration table.
- Adds a new section titled "Adding GPT-4 Brain to Quivr" that outlines
the steps required to integrate a GPT-4 Brain into Quivr, including
accessing the Supabase dashboard and navigating to the integration
table.
- Provides step-by-step instructions for adding a custom brain named
gpt4 in the Supabase integration table and configuring the necessary
settings for the GPT-4 Brain, such as API keys and preferences.
---
For more details, open the [Copilot Workspace
session](https://copilot-workspace.githubnext.com/QuivrHQ/quivr?shareId=81c5fd43-eb46-407c-a40f-c0b0b3a41925).
This pull request introduces comprehensive documentation for configuring
Supabase in Quivr, including details on CLI usage, running migrations,
resetting the database, and deploying to a hosted version of Supabase.
- **Documentation Addition**: Adds a new document
`docs/configuring/supabase-setup.mdx` that provides a step-by-step guide
on setting up Supabase for Quivr. This includes initializing Supabase,
configuring environment variables, using the Supabase CLI for migrations
and database resets, and deploying to a hosted Supabase environment.
- **Documentation Navigation Update**: Updates `docs/mint.json` to
include a reference to the newly added `supabase-setup.mdx` in the
configuring section, ensuring users can easily find this resource.
---
For more details, open the [Copilot Workspace
session](https://copilot-workspace.githubnext.com/QuivrHQ/quivr?shareId=cadcc1b3-ff9d-4650-b92a-28cadcc3ebdf).
This pull request fixes the value of NEXT_PUBLIC_AUTH_MODES in the
docker-compose.yml file. The previous value was incorrect and has been
updated to the correct value.
This pull request adds the `NEXT_PUBLIC_AUTH_MODES` variable to the
`.env.example` file. This variable allows the application to specify the
authentication modes that are supported.