Tag: vector database performance
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RAG Pipelines 50x Slower: 3 Architectural Fixes
By Andrii Klymenko · Updated September 28, 2026 Quick answer: RAG pipelines suffer from three architectural anti-patterns: runtime query embedding, inefficient vector search, and full-document concatenation. Production optimization requires caching embeddings, pruning retrieved documents to relevant chunks, and pre-computing indexes. These fixes reduce latency from seconds to milliseconds, meeting user expectations for response speed in…
