From 977eff404f1eaddd2979d6a493d8fbc3cfdaf1fb Mon Sep 17 00:00:00 2001 From: Harrison Chase Date: Thu, 31 Oct 2024 10:09:21 -0500 Subject: [PATCH] cr --- libs/langgraph/README.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/libs/langgraph/README.md b/libs/langgraph/README.md index a375771f0..6f7b62676 100644 --- a/libs/langgraph/README.md +++ b/libs/langgraph/README.md @@ -16,6 +16,8 @@ LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain. +[LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform) is infrastructure for deploying LangGraph agents. It is a commercial solution for deploying agentic applications to production, built on the open-source LangGraph framework. The LangGraph Platform consists of several components that work together to support the development, deployment, debugging, and monitoring of LangGraph applications: [LangGraph Server](https://langchain-ai.github.io/langgraph/concepts/langgraph_server) (APIs), [LangGraph SDKs](https://langchain-ai.github.io/langgraph/concepts/sdk) (clients for the APIs), [LangGraph CLI](https://langchain-ai.github.io/langgraph/concepts/langgraph_cli) (command line tool for building the server), [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio) (UI/debugger), + To learn more about LangGraph, check out our first LangChain Academy course, *Introduction to LangGraph*, available for free [here](https://academy.langchain.com/courses/intro-to-langgraph). ### Key Features @@ -26,6 +28,16 @@ To learn more about LangGraph, check out our first LangChain Academy course, *In - **Streaming Support**: Stream outputs as they are produced by each node (including token streaming). - **Integration with LangChain**: LangGraph integrates seamlessly with [LangChain](https://github.com/langchain-ai/langchain/) and [LangSmith](https://docs.smith.langchain.com/) (but does not require them). +### LangGraph Platform + +LangGraph Platform is a commercial solution for deploying agentic applications to production, built on the open-source LangGraph framework. +Here are some common issues that arise in complex deployments, which LangGraph Platform addresses: + +- **Streaming support**: LangGraph Server provides [multiple streaming modes](https://langchain-ai.github.io/langgraph/concepts/streaming) optimized for various application needs +- **Background runs**: Runs agents asynchronously in the background +- **Support for long running agents**: Infrastructure that can handle long running processes +- **[Double texting](https://langchain-ai.github.io/langgraph/concepts/double_texting)**: Handle the case where you get two messages from the user before the agent can respond +- **Handle burstiness**: Task queue for ensuring requests are handled consistently without loss, even under heavy loads ## Installation