How-To
How to Build a RAG System
Retrieval-augmented generation architecture guide.
RAG Architecture
- Indexing: Chunk and embed documents
- Retrieval: Find relevant chunks
- Generation: LLM synthesizes answer
Vector Database Options
- Pinecone, Weaviate, Qdrant
- pgvector for PostgreSQL
- Chroma for local development
RAG Monitoring
- Track retrieval relevance scores
- Monitor hallucination rates
- Measure answer groundedness
- Alert on citation failures
Monitor your RAG system
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