Search results
LangChain is a framework for developing context-aware reasoning applications powered by large language models (LLMs). It provides open-source libraries, productionization tools, deployment options, and documentation for building and using LLM components, chains, agents, and graphs.
LangChain is a flexible abstraction and a platform for building context-aware, reasoning applications with language models. Explore its main OSS libraries, products, extensions, live demos, and popular repositories on GitHub.
LangChain.js is a TypeScript library that enables context-aware reasoning applications powered by language models. It provides components, chains, agents, and integrations for working with LLMs in various environments, such as Node.js, Cloudflare Workers, Vercel, and Deno.
Langchain is a Python library that provides tools and components for building AI applications with natural language processing and generation. Browse the latest releases of langchain and its submodules, such as langchain-openai, langchain-core, langchain-community, and langchain-unstructured.
LangChain .NET is a project that aims to create a C# version of LangChain, a framework for building applications with LLMs through composability. It uses various libraries and models, such as OpenAI, TextEmbedding, and SqLiteVectorDatabase, and provides examples and documentation on its wiki.
LangChain-Google is a monorepo that contains multiple packages with Google integrations for LangChain, a library for building conversational AI applications. Learn how to contribute to this open-source project, run tests, format and lint code, and use optional dependencies.
LangChain AWS is a repository that provides LangChain components for various AWS services, such as Bedrock, SageMaker, Kendra, Neptune, and Bedrock Agents. It aims to replace and expand upon the existing LangChain AWS components in the langchain-community package.
Contribute to WTFAcademy/WTF-Langchain development by creating an account on GitHub.
This template scaffolds a LangChain.js + Next.js starter app. It showcases how to use and combine LangChain modules for several use cases. Specifically: Simple chat; Returning structured output from an LLM call; Answering complex, multi-step questions with agents; Retrieval augmented generation (RAG) with a chain and a vector store
LangChain is a Python library that facilitates modular abstraction in chatbot and language model creation. Learn how to use LangChain with OpenAI and Multion APIs, and explore examples of language model applications, chains, and custom classes.
