Chainlit doc on the integration with LangChainBeam‚ÄãThis repo serves as a template for how to deploy a LangChain with Beam.It implements a Question Answering app and contains instructions for deploying the app as a serverless REST API.Vercel‚ÄãA minimal example on how to run LangChain on Vercel using Flask.FastAPI + Vercel‚ÄãA minimal example on how to run LangChain on Vercel using FastAPI and LangCorn/Uvicorn.Kinsta‚ÄãA minimal example on how to deploy LangChain to Kinsta using Flask.Fly.io‚ÄãA minimal example of how to deploy LangChain to Fly.io using Flask.DigitalOcean App Platform‚ÄãA minimal example of how to deploy LangChain to DigitalOcean App Platform.CI/CD Google Cloud Build + Dockerfile + Serverless Google Cloud Run‚ÄãBoilerplate LangChain project on how to deploy to Google Cloud Run using Docker with Cloud Build CI/CD pipeline.Google Cloud Run‚ÄãA minimal example of how to deploy LangChain to Google Cloud Run.SteamShip‚ÄãThis 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-serve‚ÄãThis 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.BentoML‚ÄãThis 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 gRPC endpoints. With BentoML, you can integrate models from all popular ML frameworks and deploy them as microservices running on the most optimal hardware and scaling independently.OpenLLM‚ÄãOpenLLM is a platform for operating large language models (LLMs) in
So, you've created a really cool chain - now what? How do you deploy it and make it easily shareable with the world?
So, you've created a really cool chain - now what? How do you deploy it and make it easily shareable with the world? ->: Chainlit doc on the integration with LangChainBeam‚ÄãThis repo serves as a template for how to deploy a LangChain with Beam.It implements a Question Answering app and contains instructions for deploying the app as a serverless REST API.Vercel‚ÄãA minimal example on how to run LangChain on Vercel using Flask.FastAPI + Vercel‚ÄãA minimal example on how to run LangChain on Vercel using FastAPI and LangCorn/Uvicorn.Kinsta‚ÄãA minimal example on how to deploy LangChain to Kinsta using Flask.Fly.io‚ÄãA minimal example of how to deploy LangChain to Fly.io using Flask.DigitalOcean App Platform‚ÄãA minimal example of how to deploy LangChain to DigitalOcean App Platform.CI/CD Google Cloud Build + Dockerfile + Serverless Google Cloud Run‚ÄãBoilerplate LangChain project on how to deploy to Google Cloud Run using Docker with Cloud Build CI/CD pipeline.Google Cloud Run‚ÄãA minimal example of how to deploy LangChain to Google Cloud Run.SteamShip‚ÄãThis 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-serve‚ÄãThis 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.BentoML‚ÄãThis 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 gRPC endpoints. With BentoML, you can integrate models from all popular ML frameworks and deploy them as microservices running on the most optimal hardware and scaling independently.OpenLLM‚ÄãOpenLLM is a platform for operating large language models (LLMs) in