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---
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title: FinRAG
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emoji: 🐢
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colorFrom: blue
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colorTo: blue
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sdk: docker
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pinned: false
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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### How to use the endpoint
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Please see the notebook 'app/notebooks/upload_index.ipynb' for examples of how to upload docs, index them, delete the data, erase the vector store, do a vector search or a full RAG.
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One can upload as many documents as he wants, and decide when to index them, and then continue uploading documents, and, again, index them at any time.
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The code works locally with uvicorn and here on Huggingface.
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In 'tests/test_main.py', one can find a few ideas about how to test the code. It is of course far from being exhaustive, but I included simple unit tests and also some that test the overall capability of the code, ie answering a question with a LLM, fed by the results of a hybrid search on a Weaviate database. |
