Client details that are specific to vector search. Start with ADBC for Vector Search, the main client; read Python SDK for Vector Search if your application uses vastdb.
- ADBC for Vector Search: Connect to the VAST Query Engine with adbc_driver_vastdb, set the options that matter for searches, and bulk-ingest vectors.
- Python SDK for Vector Search: Create vector-indexed tables, insert and import rows, read the index definition and search with table.vector_search() in the vastdb SDK.
- LangChain: Use a VAST DataBase table as a LangChain vector store with langchain-vastdb: add documents, search, filter, retrieve for RAG, and see the SQL it runs.