#Lakebase Search

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Stories, products and papers tagged "Lakebase Search", newest first.
Nov 4
How-toBuildersSelected04:43
Databricks benchmarks Lakebase Search vector latency at 1M–4M passages

Cache-to-index ratio, not raw row count, is the variable that governs vector search latency, which is easy to miss when scaling a RAG corpus. Engineers running Lakebase or similar Postgres-backed vector stores can use the 11–23 ms warm p50 figures to set cache budgets before latency degrades. It offers concrete sizing guidance rather than vendor marketing.

Official accountDatabricks@databricksSource
Sep 29
ProductsBuildersSelected19:31
Databricks launches Lakebase Search

This significantly lowers the operational barrier for developers building AI agents that require fast, accurate search at scale. For ASEAN developers, Lakebase Search offers a cost-effective alternative to existing vector databases, potentially reducing infrastructure costs by up to 75% while maintaining performance.

Official accountDatabricks@databricksSource