LangChain Documentation
by LangChain
The most widely used framework for building LLM apps — chains, agents, retrieval, and more.
Overview
LangChain is the most popular framework for building applications on top of LLMs, and its documentation is a practical learning path in itself. The tutorials build real things — chatbots, RAG apps, agents, extraction pipelines — while the how-to guides and conceptual docs explain the abstractions (runnables/LCEL, tools, memory). It's the fastest way to become productive across the whole LLM-app surface area.
At a Glance
- Topic
- Frameworks
- Level
- Beginner
- Format
- Documentation
- Cost
- Free
- Duration
- Self-paced
- Provider
- LangChain
- Hands-on
- Yes — code/exercises
- Certificate
- None
What You’ll Learn
- ✓Composing chains with LCEL / runnables
- ✓Building chatbots, RAG, and extraction pipelines
- ✓Tools, agents, and memory
- ✓Integrating dozens of model and data providers
Highlights
- •Covers the full LLM-app surface area
- •Tutorial-driven with runnable code
Who It’s For
Best For
- ✓Developers building LLM applications broadly
Prerequisites
- •Python (or JS/TS)
- •Basic LLM API experience
FAQ
What is LangChain Documentation?
Official LangChain docs and tutorials for composing LLM applications: prompts, chains, tools, agents, memory, and RAG.
Is LangChain Documentation free?
LangChain Documentation is free to access.
What level is LangChain Documentation for?
LangChain Documentation is aimed at a beginner audience. Recommended background: Python (or JS/TS), Basic LLM API experience.
How long does LangChain Documentation take?
Expect roughly Self-paced. Most learners work through it at their own pace.
What will I learn from LangChain Documentation?
You'll learn: Composing chains with LCEL / runnables; Building chatbots, RAG, and extraction pipelines; Tools, agents, and memory; Integrating dozens of model and data providers.