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ANNOUNCEMENT We raised $100M in Series B funding to provide the
long-term memory for AI! Learn More x

LangChain AI Handbook

By James Briggs and Francisco Ingham

The LangChain library empowers developers to create intelligent
applications using large language models. It's revolutionizing
industries and technology, transforming our every interaction with
technology.

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LangChain AI Handbook
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.

Data Preprocessing with LangChain

Colab Notebook Video Tutorial
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.

Project: Podcast Chatbot Agent

Colab Notebook Video Tutorial
Chapter 7

Custom Tools

How we build custom tools for use with agents.

Extra Resources

Jupyter Notebooks Repo Open Source LLMs in LangChain
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Chapter 8

Getting Started With Chains

Introducing the core on LangChain -- chains.

Chapter 9

Retrieval Augmentation

Building more robust AI systems with long-term memory.

Chapter 10

And more...

What will you build?

Upgrade your search or recommendation systems with just a few lines
of code, or contact us for help.

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