AgentScope RAG + Memory Architecture — Building Knowledge-Based Agents
Build knowledge-based agents with KnowledgeBase, vector stores (Qdrant/Milvus), and ReMe long-term memory.
AgentScope RAG + Memory Architecture — Building Knowledge-Based Agents
An agent that can reason and use tools is powerful. An agent that can also search your documents and remember past interactions is transformative.
In this post, we'll add RAG (Retrieval-Augmented Generation) and long-term memory to AgentScope agents — turning them into knowledge workers that improve over time.
Series: Part 1: Getting Started | Part 2: Multi-Agent | Part 3: MCP Integration | Part 4 (this post) | Part 5: Realtime Voice | Part 6: Production
1. RAG Overview
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