From 6b49be9951214e7d2ae77dc7f9e68cb0da913fd5 Mon Sep 17 00:00:00 2001 From: tkarper Date: Tue, 25 Apr 2023 06:45:38 +0200 Subject: [PATCH] Add Databutton to list of Deployment options (#3364) --- docs/deployments.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/docs/deployments.md b/docs/deployments.md index 0162caa8..9c267e99 100644 --- a/docs/deployments.md +++ b/docs/deployments.md @@ -53,3 +53,7 @@ This repository allows users to serve local chains and agents as RESTful, gRPC, ## [BentoML](https://github.com/ssheng/BentoChain) This repository provides an example of how to deploy a LangChain application with [BentoML](https://github.com/bentoml/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. + +## [Databutton](https://databutton.com/home?new-data-app=true) + +These templates serve as examples of how to build, deploy, and share LangChain applications using Databutton. You can create user interfaces with Streamlit, automate tasks by scheduling Python code, and store files and data in the built-in store. Examples include Chatbot interface with conversational memory, Personal search engine, and a starter template for LangChain apps. Deploying and sharing is one click.