docs/integrations/vectorstores/google_bigquery_vector_search/

[giscus[bot]]

docs/integrations/vectorstores/google_bigquery_vector_search/

Google Cloud BigQuery Vector Search lets you use GoogleSQL to do semantic search, using vector indexes for fast approximate results, or using brute force for exact results.

https://python.langchain.com/docs/integrations/vectorstores/google_bigquery_vector_search/

[ejh]

Can you share some information about the GCP pricing for the various elements of this workflow? For adding to BQ, which ingest pricing model? For search, uses on demand pricing based on the size of the embedding column only? Any others I've missed? Thanks!