LangChain
An open-source framework that lets you build AI apps by chaining together LLMs, tools, and data sources into reusable workflows.
What is LangChain?
LangChain is an open-source framework that helps you build AI applications by connecting large language models to external data and tools.
Think of it as plumbing for AI apps. Instead of writing custom code every time you want an LLM to search your docs or call an API, LangChain gives you pre-built components you can snap together.
Builders use it to create chatbots that remember conversation history, agents that can use tools like calculators or web search, and RAG systems that answer questions based on their own documents. It handles the messy parts like prompt templates, memory management, and chaining multiple LLM calls together.
Available for Python and JavaScript. Free and open-source, though you'll pay for the LLM API calls themselves. Popular alternatives include LlamaIndex for document-focused apps and Haystack for production pipelines.
Good to Know
How Vibe Coders Use LangChain
Frequently Asked Questions
Your Idea to AI Business In Days
Join Dan, Zehra and 0 others building AI businesses in days with video tutorials and 1 on 1 support.
Related Terms
Open-source workflow automation platform that connects apps and APIs with a visual interface and optional code-level control.
A specialized database that stores data as mathematical vectors (embeddings) to enable fast semantic search and AI-powered similarity matching.
A managed vector database that stores and searches embeddings for AI apps like semantic search, recommendations, and RAG systems.
A web scraping API that converts websites into clean, LLM-ready data like markdown and JSON, handling JavaScript and dynamic content automatically.
Training a pre-trained AI model on your specific data to make it better at your exact use case without building from scratch.
Join 0 others building with AI