39 lines
1.3 KiB
Plaintext
39 lines
1.3 KiB
Plaintext
---
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title: 'Embedchain.ai'
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description: 'Deploy your RAG application to embedchain.ai platform'
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---
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## Deploy on Embedchain Platform
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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.
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See the example below on how to use the deploy your app (for free):
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```python
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from embedchain import Pipeline as App
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# Initialize app
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app = App()
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# Add data source
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app.add("https://www.forbes.com/profile/elon-musk")
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# Deploy your pipeline to Embedchain Platform
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app.deploy()
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# 🔑 Enter your Embedchain API key. You can find the API key at https://app.embedchain.ai/settings/keys/
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# ec-xxxxxx
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# 🛠️ Creating pipeline on the platform...
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# 🎉🎉🎉 Pipeline created successfully! View your pipeline: https://app.embedchain.ai/pipelines/xxxxx
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# 🛠️ Adding data to your pipeline...
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# ✅ Data of type: web_page, value: https://www.forbes.com/profile/elon-musk added successfully.
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```
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## Seeking help?
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If you run into issues with deployment, please feel free to reach out to us via any of the following methods:
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<Snippet file="get-help.mdx" />
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