---
title: "Integrations"
slug: "dev-vector-search-integrations"
updated: 2026-11-05T22:26:58Z
published: 2026-11-05T22:26:58Z
canonical: "docs.vastdata.com/dev-vector-search-integrations"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.vastdata.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Integrations

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](/develop/docs/dev-vector-search-integrations-adbc)**: 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](/develop/docs/dev-vector-search-integrations-python-sdk)**: Create vector-indexed tables, insert and import rows, read the index definition and search with table.vector_search() in the vastdb SDK.
- **[LangChain](/develop/docs/dev-vector-search-integrations-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.