#记忆存储

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Oct 9
How-toBuildersSelected17:26
Qdrant integrates with LangGraph as long-term memory store

Memory is the piece that separates stateless chatbots from agents that improve with use, and wiring a vector database into LangGraph's store makes semantic recall a drop-in feature rather than custom plumbing. Developers building persistent agents in Python can adopt it today using LangGraph's memory API with Qdrant as the backend. It compares with simpler key-value stores by matching on embeddings instead of literal text.

Qdrant@qdrant_engineSource
Oct 2
Sep 10