Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Build reliable LLM agents with interchangeable components
LangChain provides a Python framework to chain together models, embeddings, vector stores, and tools, enabling rapid development of robust LLM‑powered agents and applications.
LangChain is a Python framework that streamlines the creation of LLM‑powered agents by providing a unified interface for models, embeddings, vector stores, retrievers, and external tools. Developers can rapidly prototype and iterate, leveraging a growing library of integrations that connect LLMs to real‑time data sources and enterprise systems.
Beyond the core library, LangChain integrates with LangGraph for advanced workflow orchestration, LangSmith for observability and evaluation, and LangSmith Deployment for scaling stateful agents. This modular ecosystem lets teams swap models, add memory, or incorporate human‑in‑the‑loop steps without rewriting core logic, supporting both research experiments and production‑grade applications.
With an active community, extensive documentation, and an MIT license, LangChain encourages contribution and reuse, making it a reliable foundation for any organization looking to harness generative AI.
Customer support chatbot
Delivers context‑aware answers by retrieving knowledge from vector stores and invoking external ticketing APIs.
Research assistant
Aggregates scholarly articles, summarizes findings, and cites sources using integrated retrieval and LLM generation tools.
Automated report generation
Combines LLM text generation with company databases to produce periodic business reports without manual effort.
Dynamic code assistant
Writes code snippets, validates them via execution tools, and iteratively refines solutions based on LLM feedback.
LangGraph is optional; use it when you need advanced workflow orchestration beyond LangChain’s core capabilities.
LangChain is released under the MIT license.
Yes, LangChain’s model‑agnostic abstractions let you swap providers by updating configuration.
For JavaScript/TypeScript, see the separate LangChain.js project.
Use LangSmith for observability, evaluation, and debugging of agent runs.
Project at a glance
ActiveLast synced 4 days ago