Unverified85% confidenceFactTime unknown
LangChain在1.0中将RAG也封装为Agent，体现了以Agent为中心的设计理念
1
Sources
85%
Confidence
Long-term
Relevance
6/3/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedUnder the LangChain 1.3 + LangGraph framework, RAG can be integrated as a tool node within an Agent, enabling the Agent to autonomously decide when to retrieve from the knowledge base.73% similarVerifiedStarting from V1, LangChain shifted its core focus toward an Agent positioning and launched the Deep Agents framework.72% similarUnverifiedLangChain and CrewAI can be used to build custom Agent workflows.69% similarVerifiedLangGraph is an Agent orchestration framework launched by the LangChain team; its core concept is to model the Agent's execution process as a directed acyclic graph (DAG), supporting complex control flows such as loops and conditional branches.69% similarUnverifiedLangChain's Agent module provides core components such as Tool abstraction, Memory management, and Chain invocation, and supports execution strategies including Zero-shot ReAct Agent and Conversational Agent.69% similar
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