Jul 1, 2025
We’re thrilled to announce that SurrealDB now has an official integration with LangChain, one of the most popular frameworks for building powerful LLM-driven applications. This partnership brings together the strengths of SurrealDB’s multi-model flexibility and real-time capabilities with LangChain’s powerful orchestration layer, enabling developers to build smarter, faster, and more context-aware AI applications.
The integration includes the following LangChain components:
SurrealDBVectorStore
)SurrealDBGraph
, currently experimental)SurrealDBGraphQAChain
, currently experimental)
# DB connection conn = Surreal(url) conn.signin({"username": user, "password": password}) conn.use(ns, db) # Vector Store vector_store = SurrealDBVectorStore( OllamaEmbeddings(model="llama3.2"), conn ) # Graph Store graph_store = SurrealDBGraph(conn)
You can start using the integration today via the SurrealDB docs, the LangChain docs, or our GitHub repository. We’ve also published example notebooks and sample apps to help you get up and running quickly:
We’re excited to see what you build with LangChain and SurrealDB. If you have questions or want to showcase your project, join our community on Discord or tag us on X.
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