End-to-end RAG system built from scratch with recursive chunking, persistent indexing, vector + BM25 hybrid retrieval, evaluation, FastAPI, Docker, and AWS deployment testing.
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Updated
Jun 28, 2026 - Python
End-to-end RAG system built from scratch with recursive chunking, persistent indexing, vector + BM25 hybrid retrieval, evaluation, FastAPI, Docker, and AWS deployment testing.
AI Powered Document Storage with Capability to ask Questions to AI - Spring AI & RAG
This application is a Medical Domain Chatbot built using Retrieval-Augmented Generation (RAG). It allows users to upload their own medical documents (e.g., textbooks, reports), and the system intelligently answers queries by retrieving the most relevant content before generating a final response.
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