LangChain
AI TOOLSPopularOpen SourceA framework for developing applications powered by large language models (LLMs) by orchestrating and chaining together modular components.
LangChain
A framework for developing applications powered by large language models (LLMs) by orchestrating and chaining together modular components.
About LangChain
LangChain is an open-source framework that simplifies the creation of applications using large language models (LLMs). It provides a standard, extensible interface and a set of building blocks for common tasks, such as managing prompts, connecting to data sources, and interfacing with LLMs. By 'chaining' these components together, developers can easily build complex, context-aware applications like chatbots with memory, document analysis tools using Retrieval-Augmented Generation (RAG), and autonomous agents that can interact with external tools and APIs. The broader LangChain ecosystem includes LangSmith for observability and LangServe for deployment.
Key Features
Use Cases
Question-Answering over Documents: Creating systems that answer questions based on a specific set of private documents (RAG).
Chatbots with Memory: Building conversational agents that can remember and reference past interactions.
Autonomous Agents: Developing agents that can perform multi-step tasks by interacting with APIs, like booking travel or summarizing news.
Structured Data Extraction: Pulling structured information (e.g., JSON) from unstructured text.
Code Analysis & Generation: Building tools to understand, explain, and write code.
Screenshots
