June 2026
Intermediate
386 pages
8h 22m
English
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Chapter 4. Orchestration with LangChain, LangGraph, and LlamaIndex
In the previous chapters, we established the "what" and the "how" of agentic communication. We saw how Retrieval-Augmented Generation (RAG) gives agents a knowledge base (in Chapter 2) and how protocols like MCP and A2A provide the rules for interaction between agents and tools (in Chapter 3). You saw a few examples of LangChain in use. However, we now turn our attention to the deep technical details of these powerful orchestration frameworks. An agent, its tools, and its knowledge are just disparate parts until a framework wires them together, defines their logic, and directs the flow of information. This process of managing the sequence, logic, and state of a complex AI workflow ...
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