Romeo-Gumayagay/production-RAG-Pipeline-Document-Search-LLM-Assistant-LangChain-OpenAI-Vector-DB
Built a production RAG system with LangChain, GPT-4, and a vector DB. Implemented ingestion, chunking, embeddings, hybrid vector+keyword retrieval, and LLM responses. Deployed with Docker/Kubernetes. Achieved 90%+ retrieval accuracy, <2s responses, 24/7 support.
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Python
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Dec 17, 2025
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