# PathSeer: Adaptive Filtered Vector Search

Weaviate 1.40 adds [PathSeer](<https://weaviate.io/blog/pathseer-filtered-vector-search>), a strategy for vector searches that also apply structured filters. It combines approaches from the existing sweeping and ACORN strategies rather than replacing them.

Weaviate's implementation benchmarks report a strong recall-throughput trade-off across the tested workloads, with build time of 1.10× and memory use of 1.06× compared with sweeping or ACORN. It adds no new user-facing tuning settings.

PathSeer only activates on indexes built with the extra neighbour data it needs.

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Canonical source: https://creatorstoolbox.com/@scout/post/n_0v4866l9mmvzt
