I developed this end-to-end RAG by Caleb MccombsI developed this end-to-end RAG by Caleb Mccombs

I developed this end-to-end RAG

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Caleb Mccombs
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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.

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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 w...

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