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# Description
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## Screenshots (if appropriate):
The text retranscription instructions in the `DeadlyParser` class have
been updated to provide more context and clarify the requirements. The
new instructions include information about the type of document, the
absence of illegal content or protected data, and the expectation to
correct the entire text retranscription. This change improves the
clarity and accuracy of the instructions for text retranscription.
# Description
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## Screenshots (if appropriate):
This commit updates the code in `celery_monitor.py` to handle task
success events. When a task with a status of `SUCCESS` is received, it
sends a notification with a success status and a corresponding
description. Additionally, if the event has a `knowledge_id`, it updates
the knowledge status to `UPLOADED`. This change improves the handling of
task success events and ensures that notifications and knowledge
statuses are properly updated.
Note: This commit message follows the established convention of starting
with a verb in the imperative form, followed by a brief description of
the changes.
# Description
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## Screenshots (if appropriate):
The PDFGenerator class in `pdf_generator.py` has been updated to include
the logo in the header of the generated PDFs. This enhancement improves
the visual appearance of the PDFs by adding branding elements.
```
# Description
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# Description
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## Screenshots (if appropriate):
The PDFGenerator class in `pdf_generator.py` has been updated to support markdown formatting when generating PDFs. This allows for better rendering of text with markdown syntax, improving the overall appearance of the generated PDFs.
```
The image scale for OCR processing has been updated to improve accuracy.
This change increases the scale from 300 to 500, resulting in better
quality text recognition.
# Description
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# Description
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## Screenshots (if appropriate):
---------
Co-authored-by: Zewed <dewez.antoine2@gmail.com>
Hello 👋 from Porter! Please merge this PR to finish setting up your
application.
Co-authored-by: porter-deployment-app[bot] <87230664+porter-deployment-app[bot]@users.noreply.github.com>
Hello 👋 from Porter! Please merge this PR to finish setting up your
application.
Co-authored-by: porter-deployment-app[bot] <87230664+porter-deployment-app[bot]@users.noreply.github.com>
The syncNotion function is no longer needed in the ConnectionCards
component, simplifying the code and improving maintainability.
# Description
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## Screenshots (if appropriate):
The fetch_notion_pages function now includes error handling for
rate-limited searches. If a rate-limited response is received, the
function waits for 10 seconds before retrying the search. This ensures
that the function can handle rate limits and continue fetching Notion
pages.
Co-authored-by: StanGirard <stan@example.com>
Co-authored-by: ZeWed <zewed@example.com>
This commit removes the syncNotion function from the ConnectionCards
component. The function is no longer needed, simplifying the code and
improving maintainability.
# Description
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## Screenshots (if appropriate):
The syncNotion function is no longer needed in the ConnectionCards
component, so it has been removed. This change simplifies the code and
improves maintainability.
# Description
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# Description
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## Screenshots (if appropriate):
The SyncsUser model in sync_models.py now has an optional status field.
This change allows for more flexibility in managing user synchronization
status.
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## Screenshots (if appropriate):
Closes CORE-207
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# Description
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# Description
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## Screenshots (if appropriate):
# Description
Major PR which, among other things, introduces the possibility of easily
customizing the retrieval workflows. Workflows are based on LangGraph,
and can be customized using a [yaml configuration
file](core/tests/test_llm_endpoint.py), and adding the implementation of
the nodes logic into
[quivr_rag_langgraph.py](1a0c98437a/backend/core/quivr_core/quivr_rag_langgraph.py)
This is a first, simple implementation that will significantly evolve in
the coming weeks to enable more complex workflows (for instance, with
conditional nodes). We also plan to adopt a similar approach for the
ingestion part, i.e. to enable user to easily customize the ingestion
pipeline.
Closes CORE-195, CORE-203, CORE-204
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# Description
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## Screenshots (if appropriate):
# Description
Fix multiple notion bugs 👍
-> Delete your notion sync and all the notion files from the db
-> Ensure a sync is not already running before launching a sync.
-> Add a status to subscribe to for user_sync
---------
Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
Co-authored-by: Stan Girard <stan@quivr.app>
Co-authored-by: aminediro <aminedirhoussi1@gmail.com>
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
The commit updates the message content in the `main.py` file of the
chatbot example.
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## Screenshots (if appropriate):
# Description
closes#3056.
closes#3198
- Create knowledge route
- Get knowledge route
- List knowledge route : accepts knowledge_id | None. None to list root
knowledge for use
- Update (patch) knowledge to rename and move knowledge
- Remove knowledge: Cascade if parent_id in knowledge and cleanup
storage
- Link storage upload to knowledge_service
- Relax sha1 file constraint
- Tests to all repository / service
---------
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
# Description
- Save and load brain to disk:
```python
async def main():
with tempfile.NamedTemporaryFile(mode="w", suffix=".txt") as temp_file:
temp_file.write("Gold is a liquid of blue-like colour.")
temp_file.flush()
brain = await Brain.afrom_files(name="test_brain", file_paths=[temp_file.name])
save_path = await brain.save("/home/amine/.local/quivr")
brain_loaded = Brain.load(save_path)
brain_loaded.print_info()
```
# TODO:
- Loading all chat history
- Loading from other vector stores, PG for example can be great ...
