In RAG applications, after vectorizing documents, which database approach is more efficient: sequential scanning or index-based? Why do you think so? Thanks for your input!
Which database logic would you recommend for RAG?
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Using vector indexing with PostgreSQL (pgvector) is much more efficient than sequential scanning. Sequential scanning is slow because it traverses the entire database, whereas pgvector accelerates similarity searches with indexes like HNSW or IVFFlat.