Chainlit doc on the integration with LangChainBeamâ€‹This repo serves as a template for how deploy a LangChain with Beam.It implements a Question Answering app and contains instructions for deploying the app as a serverless REST API.Vercelâ€‹A minimal example on how to run LangChain on Vercel using Flask.FastAPI + Vercelâ€‹A minimal example on how to run LangChain on Vercel using FastAPI and LangCorn/Uvicorn.Kinstaâ€‹A minimal example on how to deploy LangChain to Kinsta using Flask.Fly.ioâ€‹A minimal example of how to deploy LangChain to Fly.io using Flask.Digitalocean App Platformâ€‹A minimal example on how to deploy LangChain to DigitalOcean App Platform.CI/CD Google Cloud Build + Dockerfile + Serverless Google Cloud Runâ€‹Boilerplate LangChain project on how to deploy to Google Cloud Run using Docker with Cloud Build CI/CD pipelineGoogle Cloud Runâ€‹A minimal example on how to deploy LangChain to Google Cloud Run.SteamShipâ€‹This repository contains LangChain adapters for Steamship, enabling LangChain developers to rapidly deploy their apps on Steamship. This includes: production-ready endpoints, horizontal scaling across dependencies, persistent storage of app state, multi-tenancy support, etc.Langchain-serveâ€‹This repository allows users to deploy any LangChain app as REST/WebSocket APIs or, as Slack Bots with ease. Benefit from the scalability and serverless architecture of Jina AI Cloud, or deploy on-premise with Kubernetes.BentoMLâ€‹This repository provides an example of how to deploy a LangChain application with BentoML. BentoML is a framework that enables the containerization of machine learning applications as standard OCI images. BentoML also allows for the automatic generation of OpenAPI and