What is the difference between ChatMemory and VectorStore for context management?

ChatMemory stores the conversation's own messages in order — short-term, session-scoped continuity. VectorStore stores embedded knowledge-base chunks — long-term, shared domain knowledge. A production chatbot typically uses both together: memory for the conversation, RAG for facts.