⚠️ Recommending LangGraph Platform for new projects

We have [recently announced](https://blog.langchain.dev/langgraph-platform-announce/) LangGraph Platform, a ***significantly*** enhanced solution for deploying agentic applications at scale. We recommend using LangGraph Platform rather than LangServe for new projects. LangGraph Platform incorporates [key design patterns and capabilities](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/#option-2-leveraging-langgraph-platform-for-complex-deployments) essential for production-level deployment of large language model (LLM) applications. In contrast to LangServe, LangGraph Platform provides comprehensive, out-of-the-box support for [persistence](https://langchain-ai.github.io/langgraph/concepts/application_structure/), [memory](https://langchain-ai.github.io/langgraph/concepts/assistants/), [double-texting handling](https://langchain-ai.github.io/langgraph/concepts/double_texting/), [human-in-the-loop workflows](https://langchain-ai.github.io/langgraph/concepts/assistants/), [cron job scheduling](https://langchain-ai.github.io/langgraph/concepts/langgraph_server/#cron-jobs), [webhooks](https://langchain-ai.github.io/langgraph/concepts/langgraph_server/#webhooks), high-load management, advanced streaming, support for long-running tasks, background task processing, and much more. The LangGraph Platform ecosystem includes the following components: - [LangGraph Server](https://langchain-ai.github.io/langgraph/concepts/langgraph_server/): Provides an [Assistan

Posted by eyurtsev on Nov 18, 2024, 4:09 PM

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• support (Sysadmin)

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