Introduction
At its core, LangChain is a framework built around LLMs. We can use it for chatbots, Generative Question-Answering (GQA), summarization, and much more.
Let's dive in!
Chapter 1
An Introduction to LangChain
An overview of the core components of LangChain.
Chapter 2
Prompt Templates and the Art of Prompts
The art and science behind designing better prompts.
Chapter 3
Building Composable Pipelines with Chains
Exploring how LangChain supports modularity and composability with chains.
Chapter 4
Conversational Memory
Enabling the next wave of intelligent chatbots using conversational memory.
Chapter 5
Retrieval Augmentation
Fighting hallucinations and keeping LLMs up-to-date with external knowledge bases.
Chapter 6
AI Agents
How ReAct and conversational agents can be used to supercharge LLMs with tools.
Chapter 7
Custom Tools
How we build custom tools for use with agents.
Chapter 8
Agents With Long-Term Memory
Exploring how we can build retrieval-augmented conversational agents.
Chapter 9
Streaming in LangChain
A guide covering simple streaming through to complex streaming of agents and tool.
Chapter 10
RAG Multi-Query
How to use multi-query in RAG pipelines.
Chapter 11
LangChain Expression Language
Understand what LCEL is and how it works.
New chapters coming soon!
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Chapter 12