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LangChain

Popular framework for building applications with large language models.

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Definition

LangChain is a framework for developing applications powered by language models.

  • **Core Concepts:**
  • Chains: Sequences of LLM calls
  • Agents: LLMs that decide actions
  • Memory: Persist state across interactions
  • Retrievers: Get relevant documents

Key Components: - Document loaders - Text splitters - Vector stores - Prompt templates - Output parsers

Use Cases: - RAG applications - Chatbots with memory - Autonomous agents - Document Q&A - Data extraction

Ecosystem: - LangSmith: Monitoring and debugging - LangServe: Deploy chains as APIs - LangGraph: Complex agent workflows

Alternatives: - LlamaIndex (data-focused) - Semantic Kernel (Microsoft) - Haystack

Examples

Building a chatbot that answers questions about your documents using LangChain.

Related Terms

RAG (Retrieval-Augmented Generation)

A technique combining information retrieval with text generation to improve accuracy.

AI Agent

AI systems that can autonomously perform tasks by planning and using tools.

Vector Database

Database optimized for storing and searching high-dimensional vector embeddings.

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