# Description
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## Checklist before requesting a review
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# Description
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## Checklist before requesting a review
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# Description
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## Checklist before requesting a review
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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 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.
## Checklist before requesting a review
Please delete options that are not relevant.
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my feature works
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- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
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## Checklist before requesting a review
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- [ ] My code follows the style guidelines of this project
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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):
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 a new feature to generate images using the OpenAI
DALL-E model. The `ImageGeneratorTool` class is implemented to handle
the image generation functionality.
# Description
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## Checklist before requesting a review
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my feature works
- [ ] New and existing unit tests pass locally with my changes
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## Screenshots (if appropriate):
This pull request adds a new config parameter to the
`conversational_qa_chain` function. The config parameter allows for
passing metadata, specifically the conversation ID, to the function.
This change ensures that the conversation ID is included in the metadata
when invoking the `conversational_qa_chain` function.
This pull request adds the ProxyBrain integration to the project. The
ProxyBrain class is responsible for handling conversational QA and
generating answers based on the provided chat history and question.
# Description
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## Checklist before requesting a review
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- [ ] My code follows the style guidelines of this project
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my feature works
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## Screenshots (if appropriate):
# Description
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## Checklist before requesting a review
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my feature works
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- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
This pull request removes the citation metadata from the generate_answer
and generate_stream functions. The citation metadata was previously
being added to the streamed_chat_history and metadata dictionaries, but
it is no longer necessary. This change improves the efficiency and
clarity of the code.
This pull request updates the chunk size and overlap parameters in the
File class to improve performance. It also increases the top_n value in
the compressor for both the CohereRerank and FlashrankRerank models.
Additionally, it ensures that the page content is encoded in UTF-8
before processing.
# Description
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also include relevant motivation and context.
## Checklist before requesting a review
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## Screenshots (if appropriate):
# Description
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## Checklist before requesting a review
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my feature works
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- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
This pull request adds the flashrank and contextual compression
retriever to the codebase. The flashrank reranker model is used for
compression, and the contextual compression retriever combines the base
compressor and base retriever to improve document retrieval.
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 pull request fixes the issue of duplicate sources in the model
response and adds metadata to the response. It removes duplicate sources
with the same name and creates a list of unique sources. Additionally,
it includes the generated URLs and sources in the metadata of the model
response.
This pull request refactors the GPT4Brain and KnowledgeBrainQA classes
to add the functionality of saving non-streaming answers. It includes
changes to the `generate_answer` method and the addition of the
`save_non_streaming_answer` method. This enhancement improves the
overall functionality and performance of the code.
# Description
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## Checklist before requesting a review
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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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## Checklist before requesting a review
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## Screenshots (if appropriate):
# Description
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my feature works
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## Screenshots (if appropriate):
# Description
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## Checklist before requesting a review
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my feature works
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## Screenshots (if appropriate):
<!--
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----
| 🚀 This description was created by
[Ellipsis](https://www.ellipsis.dev) for commit
997576d577 |
|--------|
### Summary:
This PR involves a significant refactoring of the codebase, with file
and class relocations and renames, and updated import paths, without
introducing new functionality.
**Key points**:
- Significant refactoring of the codebase for improved organization and
clarity.
- File and class relocations and renames.
- Updated import paths to reflect new locations and names.
- No new functionality introduced.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
<!--
ELLIPSIS_HIDDEN
-->
This pull request refactors the DEFAULT_DOCUMENT_PROMPT in quivr_rag.py
to improve code readability and maintainability. The unnecessary file
name information has been removed from the prompt template as it is now
included in the vector embedding
<!--
ELLIPSIS_HIDDEN
-->
----
| <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 81939457e6. |
|--------|--------|
### Summary:
This PR refactors the `DEFAULT_DOCUMENT_PROMPT` in `quivr_rag.py` by
removing the file name information from the prompt template, enhancing
code readability and maintainability.
**Key points**:
- Refactored `DEFAULT_DOCUMENT_PROMPT` in `quivr_rag.py`.
- Removed file name information from the prompt template.
- File name information is now included in the vector embedding.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
<!--
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# Description
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also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
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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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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):
---------
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
# 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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- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
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# Description
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## Checklist before requesting a review
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my feature works
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## Screenshots (if appropriate):
This pull request updates the langchain.prompts and
langchain_core.messages modules. It includes changes to the code that
improve functionality and fix any existing issues.
# Description
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also include relevant motivation and context.
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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):
# Description
With this pull request, I add a fix that **enables Ollama**.
Running quivr in a Docker container, Ollama needs to be accessed via
http://host.docker.internal:11434.
This URL is defined as `api_base` of the `ChatLiteLLM` constructor. But
there are calls that are missing `api_base`. This leads to fallback URLs
being used. This is now fixed.
Fixes#2270#2267#2217#2204
## Checklist before requesting a review
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## Screenshots (if appropriate):
None
Co-authored-by: Niels Garve <niels.garve@experienceone.com>
This pull request updates the integration types and classes in the
codebase. It includes the following commits:
- Update logo_url field in brain entity and integration_brain entity
- Update integration references in BrainsUsers and IntegrationBrain
classes
- Revert "Update integration references in BrainsUsers and
IntegrationBrain classes"
- Revert "Update logo_url field in brain entity and integration_brain
entity"
- Add 'doc' integration type and KnowledgeBrainQA class
Please review and merge these changes.
This pull request adds a custom integration feature and sync
functionality to the application. It includes the following changes:
- Added a new integration entity for custom integrations.
- Implemented the ability to load and poll the custom integration.
- Added a task to sync the custom integration with the user's brain.
- Updated the celery beat schedule to include the new task.
Please review and merge this pull request.
This pull request adds the `max_input` and `max_tokens` parameters to
the `KnowledgeBrainQA` constructor. These parameters allow for setting
the maximum input length and maximum number of tokens for the
KnowledgeBrainQA model. This provides more flexibility and control over
the input size and tokenization process.