# Description
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## Checklist before requesting a review
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## Screenshots (if appropriate):
<!--
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|--------|--------|
### Summary:
This PR adds a new script for evaluating the RAG model using the Ragas
library, with results saved as a JSON file and printed to the console.
**Key points**:
- New script `run_evaluation.py` added to
`backend/tests/ragas_evaluation/`.
- The script processes documents, generates replies using a QuivrRAG
chain, and evaluates the replies using specified metrics.
- Results are saved as a JSON file and printed to the console.
- The script can be run from the command line with various options.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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---------
Co-authored-by: Damien Mourot <damien.mourot@gmail.com>
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
This pull request adds an icon and description to the assistant. The
icon is displayed in the user interface and the description provides
additional information about the assistant.
This pull request adds a new optional field "tags" to the
AssistantOutput classes. The "tags" field allows for categorizing the
outputs and can be used for filtering or organizing purposes.
…dio_transcript and crawler assistants
# Description
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Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
# Description
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# Description
Added ability to upload .bib files to brain using langchain bibtex
document loader. Also changed frontend to allow the choosing of said
file.
Looking for guidance on how to run unit tests locally!
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This pull request adds a new field, `url_required`, to the
`IngestionEntity` class. This field is required for the ingestion
process and will be used to store the URL of the entity.
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This pull request adds the ingestion module and routes to the project.
It includes the necessary files and code changes to implement the
ingestion functionality.
# Description
Readme has a typo in step 1 for the directory name to `cd` into
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# Description
Two small comment changes in the .env file. One to reposition the main
file comment to the top of the file and the other to add a comment to
the OpenAI config line per https://github.com/QuivrHQ/quivr/issues/2384
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# Description
TODO BEFORE RELEASE
- [ ] Onboarded true for all existing users
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# Description
Optimize the docker image for cpu-only environment. (PyTorch in cpu
mode, cuda not installed etc) This should reduce the backend docker
image size by ~2
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Fix match_vectors function that rank chunks in the wrong order
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