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LangChain

Definition

An open-source framework for building applications powered by large language models, providing tools for chains, agents, and memory.

In-Depth Explanation

LangChain simplifies LLM application development by providing abstractions for common patterns. It includes components for prompt templates, chains (sequences of calls), agents (autonomous decision-making), memory (conversation history), and integrations with vector stores and tools. It has become the most popular framework for building AI applications.

Real-World Example

Using LangChain to build a RAG chatbot that retrieves company documents and answers questions with citations.

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Related Terms

AI Agent

An autonomous AI system that can perceive its environment, make decisions, and take actions to achieve specific goals.

LlamaIndex

A data framework for connecting custom data sources to large language models, specializing in indexing and retrieval for RAG applications.

Retrieval-Augmented Generation(RAG)

A technique that enhances LLM outputs by retrieving relevant information from external knowledge bases before generating responses.

Vector Database

A specialized database designed to store and efficiently query high-dimensional vector embeddings.