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RAG Enterprise Boilerplate — Postgres pgvector in Production

Production RAG without the glue code. Postgres pgvector with HNSW, hybrid search and reranker, eval harness with LLM-as-judge, nightly fine-tune from human corrections. I ship ingestion, chunking and streaming SSE answers in one repo. Neon pooled connection, 8ms p95 retrieval on 2M chunks. Copy the boilerplate, focus on your data.

How I built it: AI Agent Development: From Prototype to Production
RAGpgvectorNeonGenAIOpsNext.js

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