Production Endpoints resources
Learn how to turn LangChain prototypes into scalable APIs using LangServe and a hands‑on article showing how to integrate LangServe into production workflows.
- Deploy LangChain Apps with LangServe
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Introduction to LangServe: a deployment solution for LCEL-based chains https://blog.langchain.com/introducing-langserve/?utm_source=chatgpt.com
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Why LangServe matters: streaming, scalability, retries, and falling back gracefully
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Core features: API endpoints, parallel execution, async support, Io schemas https://fsndzomga.medium.com/langchain-has-launched-langserve-here-is-what-you-need-to-know-2567667e9243
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Example setup: deploy a Python chain on GCP or Replit https://blog.langchain.com/introducing-langserve/?utm_source=chatgpt.com
- Complete Guide to LangChain App Deployment
- Comprehensive LangChain overview (chains, agents, LCEL)
- Deploying with LangServe: benefits, patterns, and templates
- Debugging and monitoring with LangSmith https://nanonets.com/blog/langchain/?utm_source=chatgpt.com
-Integration scenarios: chatbots, RAG systems, enterprise workflows https://realpython.com/build-llm-rag-chatbot-with-langchain/?utm_source=chatgpt.com