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I developed this end-to-end RAG (Retrieval-Augmented Generation) application to solve the challenge of interacting with large-scale qualitative data. Built with Python and Streamlit, the app features sub-second semantic search, vector database integration, and a custom 'Web of Fates' visualization using PyVis.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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