# Description
- Created registry processor logic for automagically adding processors
to quivr_core based Entrypoints
- Added a langchain_community free `SimpleTxtParser` for the quivr_core
base package
- Added tests
- Added brain_info
- Enriched parsed documents metadata based on quivr_file metadata
used Rich for `Brain.print_info()` to get a better output:
This pull request adds functionality to sync files with DropBox. It
includes the following changes:
- Created a BaseSync class with all specific function for each clouds
- Created a SyncUtils class that takes in a BaseSync and apply the pipe
- fix the refresh method for DropBox
Please review and merge this pull request to enable DropBox sync
functionality in the application.
---------
Co-authored-by: Stan Girard <stan@quivr.app>
Co-authored-by: Amine Dirhoussi <aminediro@quivr.app>
# Description
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# Description
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# Description
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# Description
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---------
Co-authored-by: Stan Girard <stan@quivr.app>
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
The code changes in `sync_routes.py` update the category for the sync
notification from "sync" to "generic". This change ensures that the
notification is categorized correctly.
# Description
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Co-authored-by: Stan Girard <stan@quivr.app>
# Description
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---------
Co-authored-by: Stan Girard <stan@quivr.app>
The code changes in `sync_routes.py` update the category for the sync
notification from "sync" to "generic". This change ensures that the
notification is categorized correctly.
# Description
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## Screenshots (if appropriate):
Co-authored-by: Stan Girard <stan@quivr.app>
This pull request adds integration fields to the Knowledge and SyncsUser
models. The integration fields include `integration` and
`integration_link`. These fields allow for better integration with
external systems and provide additional information about the
integration.
---------
Co-authored-by: chloedia <chloedaems0@gmail.com>
Co-authored-by: Stan Girard <stan@quivr.app>
Co-authored-by: AmineDiro <aminedirhoussi1@gmail.com>
# Description
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## Screenshots (if appropriate):
Co-authored-by: Stan Girard <stan@quivr.app>
The code changes in `sync_routes.py` update the category for the sync
notification from "sync" to "generic". This change ensures that the
notification is categorized correctly.
# Description
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also include relevant motivation and context.
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## Screenshots (if appropriate):
Co-authored-by: Stan Girard <stan@quivr.app>
# Description
- Quivr notification service. listens to celery events and updates
knowledge status.
- Process file notification will wait for retried tasks
# Description
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## Screenshots (if appropriate):
---------
Co-authored-by: Stan Girard <stan@quivr.app>
The code changes in `files.py` improve the file loading logic in the
File model. The `load()` method now returns the loaded content, which is
then assigned to the `documents` variable. Additionally, the logger now
includes information about the loaded documents.
# Description
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Co-authored-by: Stan Girard <stan@quivr.app>
# Description
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# Description
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## Screenshots (if appropriate):
# Description
`quivr-core`
- Generate a fixture to simulate a model with function calling
- Monkey patch `QuivrQARAG` stream
- Tests function
`quivr-api`
- Fixes empty API responses
- Fixes non function calling models
---------
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
# Description
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## Screenshots (if appropriate):
This pull request adds a new field called `bulk_id` to the
`CreateNotification` and `Notification` models. The `bulk_id` field is
an optional UUID that can be used for bulk operations.
# Description
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---------
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
# Description
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## Screenshots (if appropriate):
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This pull request updates the versions of quivr-core and chainlit in the
requirements.txt file. The quivr-core version is changed from 0.0.8 to
0.0.8[base], and the chainlit version is changed from 1.1.306 to
1.1.306.
# 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):
The commit adds a new Quivr chatbot example to the repository. The
example demonstrates how to create a simple chatbot using Quivr and
Chainlit. Users can upload a text file and ask questions about its
content. The commit includes the necessary files, installation
instructions, and usage guidelines.
# Description
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## Checklist before requesting a review
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## Screenshots (if appropriate):
# Description
- Defined quivr-core `ChatHistory`
- `ChatHistory` can be iterated over in tuples of
`HumanMessage,AIMessage`
- Brain appends to the chatHistory once response is received
- Brain holds a dict of chats and defines the default chat (TODO: define
a system of selecting the chats)
- Wrote test
- Updated `QuivrQARAG` to use `ChatHistory` as input
This pull request updates the pre-commit hooks in the
`.pre-commit-config.yaml` file to the latest versions. By doing so, we
ensure that our codebase benefits from the latest bug fixes and
improvements provided by the pre-commit community.
The `backend-core-tests.yml` GitHub Actions workflow file has been updated to include the `OPENAI_API_KEY` environment variable with a test key. This change allows the tests to access the OpenAI API using the specified key.
