LangChain Components

LangChain Components are modular building blocks that provide standardized abstractions and interfaces for developing language model applications. These components consist of core modules including chat models for conversational interfaces, chains for combining multiple operations into structured workflows, agents for autonomous reasoning and tool usage, memory systems for persistent context across interactions, and tools for external API integration. The architecture follows a layered approach with langchain-core providing base abstractions, integration packages for specific providers, and the main langchain library for comprehensive functionality. Components feature standardized interfaces that enable interoperability while maintaining extensibility for custom implementations. Memory components persist state between chain or agent calls, allowing language models to maintain context across interactions. Tools enable integration with external systems and APIs, while chains orchestrate complex multi-step workflows. This modular design allows developers to build sophisticated AI applications by combining pre-built components or creating custom modules that follow LangChain’s interface specifications.