This pull request updates the PR title linting workflow to use the
action-semantic-pull-request@v5 action instead of the
conventional-pr-title-action. This change improves the accuracy of the
PR title validation process.
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# Description
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also include relevant motivation and context.
## Checklist before requesting a review
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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.
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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.
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# Description
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# Description
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Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
This pull request fixes the parsing instruction in the common.py file.
The result_type has been corrected to "markdown" and the
parsing_instruction has been updated to handle checkboxes, tables, and
other elements that are hard to parse in a meaningful way.
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This pull request fixes the citation handling in the ChatItem component.
Previously, if the citation did not contain the word "Content:", the
component would throw an error. This PR adds a check for the presence of
"Content:" in the citation and handles it accordingly.
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Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
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Please merge this PR to delete the workflow file associated with your
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This pull request adds Llama Parse integration for complex document
parsing in Quivr. Llama Parse is a tool from Llama Index that allows you
to read complex documents in Quivr. It provides an API key that needs to
be added to the `.env` file as `LLAMA_CLOUD_API_KEY`. Once configured,
you can use the Llama Parse tool to read `pdf`, `docx`, and `doc` files
in Quivr.
# Description
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# Description
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