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2025AI & ML
Enterprise RAG & Knowledge Base Platform
The company had millions of internal documents spread across 10+ data sources. Employees were wasting hours searching for information that existed somewhere but was impossible to find.
I built a RAG platform that indexes all of it with a scalable ingestion pipeline handling 10k+ PDFs, using Qdrant for vector storage and LangChain for retrieval orchestration. The key decision was keeping everything on-premise with Llama 3 to maintain data sovereignty. It delivers context-aware answers in under 1 second with 95% retrieval accuracy.
Started as a prototype for one team, now runs organization-wide.