From RAGs to riches: Build an AI document inquiry web-app
summary
Shows how to build a retrieval-augmented generation (RAG) document Q&A web app using Python. It uses the Ragna open-source project (Python + REST API) to retrieve context from vector stores, compares different LLMs and vector databases for accuracy, and demonstrates building the front-end with Panel.
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