LangChain.js
Develop LLM Applications with Composability

Unlock the power of language models with LangChain.js: a framework for building context-aware and reasoning applications.

🧠Context-Aware Applications
💡Reasoning Capabilities
🔗Seamless Integration

What is LangChain.js?

LangChain.js is a powerful framework designed to facilitate the development of applications that leverage the capabilities of language models (LLMs). It enables the creation of applications that are both context-aware and capable of reasoning.

These applications connect LLMs to sources of information and empower them to make informed decisions. LangChain.js provides developers with the tools and components to build sophisticated, production-ready LLM applications.

Key Features and Benefits

LangChain.js offers a modular and flexible architecture, comprising essential components for building LLM applications. This includes a collection of open-source libraries, integrations, and production-focused tools.

The framework supports various environments, including Node.js, Cloudflare Workers, Vercel/Next.js, Supabase Edge Functions, and browsers. This allows for a versatile deployment across different platforms.

With LangChain.js, you can construct applications that excel in question-answering, chatbots, and other complex tasks. It provides off-the-shelf chains and customizable components, making it easy to get started and tailor applications to specific needs.

Core Components

LangChain.js offers essential components for building LLM applications.

Model I/O: includes prompt management, prompt optimization, and a generic interface for all LLMs.

Retrieval: Facilitates data-augmented generation with chains that interact with external data sources for summarization and question/answering.

Agents: Enables LLMs to make decisions and take actions to complete tasks, provided through a standard interface along with LangGraph.js for custom agent creation.

LangGraph Powering Advanced Agents

LangGraph.js is a crucial component of the LangChain ecosystem, enabling the construction of production-grade agents.

It allows you to build robust, stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph.

LangGraph integrates smoothly with LangChain but can also be used independently.

LangChain.js empowers developers to build innovative LLM applications with unparalleled ease and flexibility.

The LangChain.js Team

Explore LangChain.js

Discover key features and functionalities

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Model I/O

Manage prompts, optimize LLMs, and work with common utilities.

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Retrieval

Fetch data for generation, including summarization and question/answering.

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Agents

Empower LLMs to make autonomous decisions and perform actions.

Common Use Cases

LangChain.js finds application in diverse scenarios, including:

Question Answering: Building applications that provide answers based on specific documents.

Chatbots: Creating interactive and informative conversational interfaces.

Get Started Resources

To begin using LangChain.js, explore these resources:

Installation: Follow installation guides to set up your development environment.

Documentation: Access comprehensive documentation to understand interfaces, modules, and integrations.

Tutorials: Follow step-by-step tutorials and walkthroughs to learn more.