redis-developer/financial-vss
Notebooks demonstrating vector search & RAG design patterns with Redis Python clients.
This helps financial analysts and researchers quickly find specific information within large volumes of financial documents like 10-K filings. You input financial reports and get back highly relevant paragraphs or sections based on your semantic search queries, much more precisely than keyword searching. It's designed for anyone needing to extract nuanced insights from corporate disclosures.
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Use this if you need to perform advanced, semantic searches on financial documents to uncover specific details or patterns, rather than just matching keywords.
Not ideal if you need to run this on your local machine, as it's specifically set up for a Google Colab environment.
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10
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3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 27, 2024
Commits (30d)
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