AI InfrastructureLangChainOpen Source
LangChain
Open source framework for building applications with LLMs - RAG, agents, chains, and memory.
About LangChain
Open source framework for building applications with LLMs - RAG, agents, chains, and memory.
LangChain is the most popular framework for building applications with language models. It provides abstractions to connect LLMs to data sources (RAG), create autonomous agents, chain multiple calls (chains), and manage conversation memory. With LangSmith for observability and LangGraph for complex agents, it's the complete ecosystem for AI development.
For You
- 🔧 Standard framework for LLM apps
- 📚 Extensive documentation and examples
- 🆓 Open source and free
For Founders
- 🏗️ Build chatbots with RAG quickly
- 🔌 Connect any LLM to any data source
- 🚀 From prototype to production with LangServe
For Companies
- 📊 LangSmith for production monitoring
- 🤖 LangGraph for complex enterprise agents
- 🔒 Secure deployment with LangServe
Capabilities
- Chains to orchestrate LLMs
- RAG with any vector store
- Agents with customizable tools
- LangSmith for observability
Use Cases
- Chatbot with RAG on company documents
- Autonomous agents that use tools
- Text processing pipelines
- Conversational applications with memory
Quick Summary
Category: AI Infrastructure
Vendor: LangChain
Price: Open Source
Rating: 4.6
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