LangChain & LLM Applications
Build production LLM applications with LangChain — chains, agents, and tools. LangChain is the leading framework for building LLM-powered applications.
Level: Intermediate · Category: Tools & Frameworks · Estimated time: 6 hours
Prerequisites
- AI Agents: Foundations & Patterns
- RAG & Vector Databases
Lessons
- LangChain Fundamentals — Components, chains, and the LCEL expression language.
- Prompts & Output Parsers — PromptTemplate, ChatPromptTemplate, and structured outputs.
- Chains & Sequential Logic — LCEL, pipe operator, and composing chains.
- Memory & Conversation — ConversationBufferMemory, summary memory, and entity memory.
- RAG with LangChain — Retrievers, document loaders, and RAG chains.
- Agents & Tool Use — Creating agents, defining tools, and ReAct pattern.
- LangSmith & Observability — Tracing, debugging, and evaluating chains.
Topics covered
langchain, llm, agents, rag, chains