Do you need a vector database? Brute-force search benchmarked from 10k to 1M vectors
This story is from 2026-10-07. It is preserved in the archive; the latest stories are on the live feed.
Most RAG tutorials start by installing a vector database. For a lot of projects, that is a dependency you don't need yet. I measured how long plain exact search takes as the corpus grows, and what an HNSW index buys you in return. Short answer: below about 100,000 chunks, a numpy matrix multiply is…
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- 2026-10-07 11:01 · DEV Community — AI
Do you need a vector database? Brute-force search benchmarked from 10k to 1M vectors