Can SupaVector work with LangChain?
Yes. SupaVector can sit behind LangChain or your own runtime as the retrieval and durable Query Layer while your application keeps its own orchestration and UX.
SupaVector Query Layer
Query Layer documentation for Query Layer and vector retrieval
Learn how to create an index, sync knowledge sources, call the /v1/memories APIs, and build Query Layer workflows that work with LangChain or your own backend.
What this page covers
- Covers Index creation, search, ask, boolean_ask, chat, write, sync, and Query portal routes.
- Useful for developers building Query Layer, vector retrieval, RAG, and grounded answer flows.
- Explains how to move beyond a raw vector database by adding source sync, direct writes, Query portals, and testing.
Common questions
When should I add full Query Layer workflows?
Use full Query Layer workflows when retrieval alone is not enough and you need source sync, grounded answers, index-scoped APIs, Query portals, and durable memory operations together.