Hierarchical multi-agent systems with LangGraph

LangChain · Intermediate ·🤖 AI Agents & Automation ·1y ago

Key Takeaways

Explains building hierarchical multi-agent systems with LangGraph and LangGraph Supervisor

Original Description

Here, we introduce LangGraph Supervisor, a lightweight library for building hierarchical multi-agent systems with LangGraph: - 🤖 Create a supervisor agent to orchestrate multiple specialized agents - 🛠️ Tool-based handoffs for agent communication - 🕸️ Built with LangGraph: comes with built-in streaming, memory and human-in-the-loop support The video covers structure of the library and the handoff mechanism between the supervisor and a team of agents. It also shows how to create hierarchical teams of agents with multiple supervisors. Chapters: 00:00 Introduction to LangGraph Supervisor 00:45 Basic Multi-Agent System Demo 02:00 Supervisor Pattern Explained 03:00 Information Handoff Mechanism 04:00 Code Implementation 06:00 Trace Analysis & Flow Explanation 09:00 Hierarchical Supervisor Systems 10:00 Advanced Multi-Team Example 11:00 Recap and Conclusion Repo: https://github.com/langchain-ai/langgraph-supervisor
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39 LangChain v0.1.0 Launch: Integrations
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41 LangChain v0.1.0 Launch: Streaming
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42 LangChain v0.1.0 Launch: Output Parsing
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43 LangChain v0.1.0 Launch: Retrieval
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44 LangChain v0.1.0 Launch: Agents
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46 Hosted LangServe + LangChain Templates
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47 LangGraph: Intro
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48 LangGraph: Agent Executor
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49 LangGraph: Chat Agent Executor
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50 LangGraph: Human-in-the-Loop
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51 LangGraph: Dynamically Returning a Tool Output Directly
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52 LangGraph: Respond in a Specific Format
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53 LangGraph: Managing Agent Steps
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54 LangGraph: Force-Calling a Tool
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55 LangGraph: Multi-Agent Workflows
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56 Streaming Events: Introducing a new `stream_events` method
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57 Building a web RAG chatbot: using LangChain, Exa (prev. Metaphor), LangSmith, and Hosted Langserve
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Chapters (9)

Introduction to LangGraph Supervisor
0:45 Basic Multi-Agent System Demo
2:00 Supervisor Pattern Explained
3:00 Information Handoff Mechanism
4:00 Code Implementation
6:00 Trace Analysis & Flow Explanation
9:00 Hierarchical Supervisor Systems
10:00 Advanced Multi-Team Example
11:00 Recap and Conclusion
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