Memory and State in Agentic RAG
Give your RAG agent short-term and long-term memory so it can hold conversations and recall facts across turns.
Why Agents Need Memory
A stateless agent forgets everything after each call. Memory lets an agent track the conversation, remember user preferences, and avoid repeating retrievals.
Short-Term vs. Long-Term
Short-term memory holds the current conversation in the context window. Long-term memory persists facts across sessions, often in a vector store or database.
All lessons in this course
- LangChain Agents and Tool Concepts
- Building Multi-Agent RAG Workflows
- Integrating External APIs as Tools
- Memory and State in Agentic RAG