LangChain
Framework for building LLM applications
Best For
About LangChain
What this tool does and how it can help you
Framework for building LLM applications
Prompts for LangChain
Challenges using LangChain
Key Capabilities
What you can accomplish with LangChain
Agent Framework
Build autonomous AI agents with reasoning and tool-using capabilities
Chain Construction
Create complex AI workflows by chaining multiple LLM calls and tools
LLM Integration
Unified interface for multiple LLM providers (OpenAI, Anthropic, Google, etc.)
LangSmith Debugging
Debug, test, and monitor LLM applications with detailed trace analysis
LangSmith Platform
Enterprise platform for production LLM application deployment and management
Tool Details
Technical specifications and requirements
License
Open Source
Pricing
Unknown
Supported Languages
Feature Highlights
Detailed features and capabilities
Agent Framework
Build autonomous AI agents with reasoning and tool-using capabilities
Chain Construction
Create complex AI workflows by chaining multiple LLM calls and tools
LLM Integration
Unified interface for multiple LLM providers (OpenAI, Anthropic, Google, etc.)
LangSmith Debugging
Debug, test, and monitor LLM applications with detailed trace analysis
LangSmith Platform
Enterprise platform for production LLM application deployment and management
Vector Store Integration
Connect to various vector databases for retrieval-augmented generation
Evaluation Framework
Test and evaluate LLM application performance with built-in metrics
LangSmith Analytics
Monitor application performance, costs, and usage patterns
Memory Management
Built-in memory systems for maintaining conversation context
Template System
Prompt templates and chains for consistent code generation