🦜️🔗 Langchain

🚀 Excited to introduce LangChain 🦜️🔗 - a powerful framework for building context-aware applications using advanced language models. From simplifying development to enhancing deployment, LangChain is your go-to AI tool for creating intelligent applications! Check it out 👉 https://python.langchain.com/ #AI #LangChain #LanguageModels

LangChain is a framework for developing context-aware applications powered by language models that can reason based on provided context.
The LangChain framework includes LangChain Libraries, LangChain Templates, LangServe, and LangSmith to simplify the application lifecycle from development to deployment.
LangChain Libraries offer components for working with language models, off-the-shelf chains for higher-level tasks, and packages such as langchain-core, langchain-community, and langchain.
LangChain Expression Language (LCEL) is a declarative way to compose chains, supporting prototypes in production from simple to complex chains without code changes.
LangChain provides standard interfaces and integrations for Model I/O, Retrieval, and Agents modules for interacting with language models, application-specific data, and high-level directives.
Use cases for LangChain include document question answering, chatbots, analyzing structured data, and more.
Integrations and guides are available to enhance development with LangChain, along with API references and a developer's guide for contributing.
LangChain aims to streamline the development, testing, monitoring, and deployment of applications leveraging language models.