Verified90% confidenceFactTime unknown
LangGraph's checkpoint store supports multiple backends by default, including in-memory, SQLite, and PostgreSQL.
6
Sources
90%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedLangGraph officially provides three Checkpointer implementations: MemorySaver (in-memory, for development and testing only), SqliteSaver (SQLite file), and AsyncPostgresSaver (PostgreSQL, recommended for production).80% similarVerifiedLangGraph's long-term storage supports multiple backends, including PostgreSQL for structured data, vector databases such as Pinecone and Chroma for semantic retrieval, and Redis for high-speed caching.79% similarUnverifiedSQLite's WAL mode, PostgreSQL's pg_wal directory, and RocksDB's MANIFEST file are all typical implementations of the write-ahead logging mechanism.73% similarUnverifiedPostgreSQL's vector search can be achieved with the help of plugins such as DiskANN and pgvectorscale.71% similarVerifiedThe pgvector extension adds vector storage and similarity search capabilities to PostgreSQL, enabling Supabase to serve simultaneously as a traditional database and a vector database.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/17378API
curl https://kongchang.com/api/v1/knowledge/claims/17378MCP
get_claim(id=17378)