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LangChain AI Handbook

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Overview

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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.


Syllabus

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.

Chapter 8
Agents With Long-Term Memory
Exploring how we can build retrieval-augmented conversational agents.

Taught by

James Briggs and Francisco Ingham

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