LangChain AI Handbook
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.
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!
Subscribe to Pinecone
Get the latest updates via email when they're published:
An Introduction to LangChain
An overview of the core components of LangChain.
Chapter 02Prompt Templates and the Art of Prompts
The art and science behind designing better prompts.
Chapter 03Building Composable Pipelines with Chains
Exploring how LangChain supports modularity and composability with chains.
Chapter 04Conversational Memory
Enabling the next wave of intelligent chatbots using conversational memory.
Chapter 05Retrieval Augmentation
Fighting hallucinations and keeping LLMs up-to-date with external knowledge bases.
Chapter 06AI Agents
How ReAct and conversational agents can be used to supercharge LLMs with tools.
Chapter 07Custom Tools
How we build custom tools for use with agents.
Chapter 08Agents With Long-Term Memory
Exploring how we can build retrieval-augmented conversational agents.
Chapter 09Streaming in LangChain
A guide covering simple streaming through to complex streaming of agents and tool.
Chapter 10RAG Multi-Query
How to use multi-query in RAG pipelines.
Chapter 11LangChain Expression Language
Understand what LCEL is and how it works.
And more...
Start building knowledgeable AI today
Create your first index for free, then pay as you go when you're ready to scale.