Multi-document AI knowledge base with cross-source citations Problem: Internal knowledge — polici...Multi-document AI knowledge base with cross-source citations Problem: Internal knowledge — polici...
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Multi-document AI knowledge base with cross-source citations
Problem: Internal knowledge — policies, contracts, onboarding docs — is scattered across files nobody can search, so answering a simple internal question takes minutes of manual digging or a person to ask.
Approach: Built a RAG system that ingests multiple documents into one searchable knowledge base and answers plain-English questions with the exact source cited — including questions that require pulling and synthesizing facts from two different documents at once.
Outcome: Stress-tested against a dense, realistic document set, answers that used to take minutes of manual search now return in seconds, correctly cited, including answers that span multiple source documents.
Tools: Next.js, Voyage AI embeddings, Supabase + pgvector, Groq Llama 3.3 70B
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