Here is a comprehensive table of LangChain products with their names, release dates, descriptions, motivations, and links to explainer videos:
| Product Name | Release Date | Description | Motivation | Video Link |
|---|---|---|---|---|
| LangChain | October 2022 | Open-source framework for developing applications powered by large language models (LLMs) | To simplify every stage of the LLM application lifecycle by providing a standard interface for LLMs and integrations with hundreds of providers | |
| LangChain Expression Language (LCEL) | Q3 2023 | Declarative way to define chains of actions using a pipe operator syntax | To provide a modern approach to building AI workflows with optimized execution and modular design | |
| LangServe | October 2023 | Deployment tool to host LCEL code as a production-ready API | To enable easy deployment of LangChain chains as REST APIs, making LLM applications accessible over the web | |
| LangGraph | January 2023 | Low-level orchestration framework for building agentic and multi-agent applications with graph-based execution | To solve the problem of adding cycles into applications built on chains, enabling complex reasoning-action loops for agents | LangGraph Intro for Beginners |
| LangSmith | July 2023 (closed beta) | Platform for debugging, testing, evaluating, and monitoring LLM applications | To provide LLMOps and observability solutions for development from prototyping to production | |
| LangGraph Cloud | June 2024 | Infrastructure designed to run fault-tolerant LangGraph agents at scale | To provide horizontally-scaling task queues, persistence, and integrated monitoring for agent deployment | |
| LangGraph Studio | August 2024 | First IDE specifically designed for agent development with visualization and debugging capabilities | To provide specialized tooling for visualizing, interacting with, and debugging agentic applications beyond traditional code editors | LangGraph Studio Overview |
| LangGraph Platform | May 2025 | Service for deploying and scaling LangGraph applications with multiple deployment options | To provide comprehensive infrastructure for long-running, stateful agents with 1-click deployment and horizontal scaling |
Core Ecosystem Components
The LangChain ecosystem consists of several interoperable tools designed to support the entire lifecycle of GenAI projects. The framework launched in October 2022 by Harrison Chase and quickly garnered popularity with improvements from hundreds of contributors on GitHub.
The products are designed to be used independently or stack for multiplicative benefit, providing a full product suite for reliable agents and LLM apps. LangChain simplifies every stage of the LLM application lifecycle through development with open-source components, productionization with LangSmith monitoring, and deployment with LangGraph Platform.
Additional Resources
For developers looking to get started, LangChain offers comprehensive documentation and tutorials. The framework supports integrations with hundreds of providers and includes tools for search, code interpretation, productivity automation, and more. Community contributions through LangChain Community provide additional third-party integrations and tools.
Top comments (0)