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FrameworksIntermediate2022

LangChain

LangChain

LangChain is a software framework that helps developers build applications using language models, tools and data.

Explained simply

LangChain is a software framework that helps developers build applications using language models, tools and data.

1LLM
→
2Tools and data
→
3LangChain orchestration
→
4AI application

At a glance

Category
Frameworks
Difficulty
Intermediate
Introduced
2022

Real example

A developer uses LangChain to connect an LLM to a document search tool and conversation memory.

Why it matters

It gives you a clear way to understand where this idea fits in AI and how it affects the tools you use.

Timeline

Origins

The ideas behind LangChain begin developing.

2022

LangChain becomes a recognised term or technique.

Wider use

Research and practical applications increase.

Modern AI

LangChain becomes connected to newer AI systems and products.

Today

LangChain remains relevant in the frameworks area of AI.

Dates for broad concepts may describe the period when the idea emerged or became widely used, rather than one exact invention date.

Learn next

Continue with these connected terms:

LLMA large language model is an AI trained on huge amounts of text so it can understand and generate language.→RAGRAG lets an AI search trusted information before it writes an answer. RAG stands for Retrieval-Augmented Generation.→AgentAn AI agent is an AI that can work toward a goal by planning steps, using tools and taking actions—not just replying to a question.→

Simple infographic

A quick visual way to understand LangChain.

1LLM
→
2Tools and data
→
3LangChain orchestration
→
4AI application
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