BigQuery Vector Search Intelligence Kit
SQL, Python and Terraform for searching your own data by meaning inside BigQuery, with no separate vector database. Terraform creates the dataset and ... - Price: $450
SQL, Python and Terraform for searching your own data by meaning inside BigQuery, with no separate vector database. Terraform creates the dataset and the connection to Google's embedding model. A Python loader splits your documents or rows into chunks and writes them to a table. The SQL generates embeddings with AI.GENERATE_EMBEDDING, builds a vector index, and runs VECTOR_SEARCH queries. Includes a worked example that searches Search Console queries by meaning, a setup guide (PDF) and tests. Requires a Google Cloud project with billing; BigQuery and embedding usage are billed by Google.