Building High-Performance Vector Databases for Retrieval-Augmented Generation (RAG)
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The Vector Search Breakthrough
Semantic search maps meaning, not exact terms.
Minimal pgvector query
SQL
SELECT id, title
FROM knowledge_chunks
ORDER BY embedding <=> :query_embedding
LIMIT 5;
Core architecture
- Embed docs on ingestion
- Store vectors with metadata
- Retrieve top-k context
- Re-rank before final answer
[!TIP] Keep chunks short and semantically coherent for better retrieval quality.