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[Deployment] Setup fly.io deployment method and update docs (#1028)

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Co-authored-by: sidmohanty11 <sidmohanty11@gmail.com>
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Deshraj Yadav
2023-12-19 14:36:44 +05:30
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commit 3cd50c4cd9
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docs/get-started/deployment.mdx
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@@ -1,11 +1,18 @@
---
title: '🚀 Deployment'
description: 'Deploy your embedchain RAG application to production'
title: 'Overview'
description: 'Deploy your RAG application to production'
---
After successfully setting up and testing your Embedchain application locally, the next step is to deploy it to a hosting service to make it accessible to a wider audience. This section offers various options for hosting your app on the [Embedchain platform](https://app.embedchain.ai) or through [self-hosting options](#self-hosting).
After successfully setting up and testing your RAG app locally, the next step is to deploy it to a hosting service to make it accessible to a wider audience. Embedchain provides integration with different cloud providers so that you can seamlessly deploy your RAG applications to production without having to worry about going through the cloud provider instructions. Embedchain does all the heavy lifting for you.
## Option 1: Deploy on Embedchain Platform
<CardGroup cols={4}>
<Card title="Fly.io" href="/deployment/fly_io"></Card>
<Card title="Modal.com" href="#"></Card>
<Card title="Embedchain Platform" href="#option-1-deploy-on-embedchain-platform"></Card>
<Card title="Self-hosting" href="#option-2-self-hosting"></Card>
</CardGroup>
## Deploy on Embedchain Platform
Embedchain enables developers to deploy their LLM-powered apps in production using the [Embedchain platform](https://app.embedchain.ai). The platform offers free access to context on your data through its REST API. Once the pipeline is deployed, you can update your data sources anytime after deployment.
@@ -33,17 +40,17 @@ app.deploy()
# ✅ Data of type: web_page, value: https://www.forbes.com/profile/elon-musk added successfully.
```
## Option 2: Self-hosting
## Self-hosting
You can also deploy Embedchain as a self-hosted service using the dockerized REST API service that we provide. Please follow the [guide here](/examples/rest-api) on how to use the REST API service. Here are some tutorials on how to deploy a containerized application to different platforms like AWS, GCP, Azure etc:
- [Fly.io](/deployment/fly_io)
- [Render.com](https://render.com/docs/deploy-an-image)
- [Huggingface Spaces](https://huggingface.co/new-space)
- [AWS EKS](https://docs.aws.amazon.com/eks/latest/userguide/sample-deployment.html)
- [AWS ECS](https://docs.aws.amazon.com/codecatalyst/latest/userguide/deploy-tut-ecs.html)
- [Google GKE](https://cloud.google.com/kubernetes-engine/docs/tutorials/hello-app)
- [Azure App Service](https://learn.microsoft.com/en-us/training/modules/deploy-run-container-app-service/)
- [Fly.io](https://fly.io/docs/languages-and-frameworks/python/)
- [Render.com](https://render.com/docs/deploy-an-image)
- [Huggingface Spaces](https://huggingface.co/new-space)
## Seeking help?