forked from Archives/langchain
c71027e725
Co-authored-by: Harrison Chase <harrisonchase@Harrisons-MBP.attlocal.net>
40 lines
2.1 KiB
Markdown
40 lines
2.1 KiB
Markdown
# Deployments
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So you've made a really cool chain - now what? How do you deploy it and make it easily sharable with the world?
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This section covers several options for that.
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Note that these are meant as quick deployment options for prototypes and demos, and not for production systems.
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If you are looking for help with deployment of a production system, please contact us directly.
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What follows is a list of template GitHub repositories aimed that are intended to be
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very easy to fork and modify to use your chain.
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This is far from an exhaustive list of options, and we are EXTREMELY open to contributions here.
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## [Streamlit](https://github.com/hwchase17/langchain-streamlit-template)
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This repo serves as a template for how to deploy a LangChain with Streamlit.
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It implements a chatbot interface.
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It also contains instructions for how to deploy this app on the Streamlit platform.
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## [Gradio (on Hugging Face)](https://github.com/hwchase17/langchain-gradio-template)
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This repo serves as a template for how deploy a LangChain with Gradio.
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It implements a chatbot interface, with a "Bring-Your-Own-Token" approach (nice for not wracking up big bills).
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It also contains instructions for how to deploy this app on the Hugging Face platform.
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This is heavily influenced by James Weaver's [excellent examples](https://huggingface.co/JavaFXpert).
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## [Beam](https://github.com/slai-labs/get-beam/tree/main/examples/langchain-question-answering)
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This repo serves as a template for how deploy a LangChain with [Beam](https://beam.cloud).
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It implements a Question Answering app and contains instructions for deploying the app as a serverless REST API.
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## [Vercel](https://github.com/homanp/vercel-langchain)
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A minimal example on how to run LangChain on Vercel using Flask.
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## [SteamShip](https://github.com/steamship-core/steamship-langchain/)
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This repository contains LangChain adapters for Steamship, enabling LangChain developers to rapidly deploy their apps on Steamship.
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This includes: production ready endpoints, horizontal scaling across dependencies, persistant storage of app state, multi-tenancy support, etc.
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