Build and deploy Embedding Search APIs in seconds.

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Embedding Search Examples

How do I host my API?: Just run ship deploy to deploy your API to Steamship's cloud.
How can people use my API?: Steamship auto-generates endpoints protected by key-based authentication.
How can I publish a demo?: For certain project types, we will auto-generate a web page where others can try it.
Can I use any Python?: Just about. Please be reasonable and add your dependencies to requirements.txt.
How do I debug?: Debug like regular Python on Localhost or Replit. If you're stuck, just reach out to hello@steamship.com.
Where are my logs?: Create an instance of your deployed package click the View Logs button from web page.

Are there usage limits?: Our free trial gives you enough room to experiment, then visit your account page to sign up for plan.
What happens if I hit usage limits?: You'll get an error message from our API telling you what happened and how to view our plans.
What's include in a paid plan?: Steamship's paid plans include models from OpenAI, Cohere, HuggingFace Replicate, Assembly, Microsoft, Google, and more. As well as fully-managed embedding search, data management, and endpoint deployment. View the plan page for more!

How do I return JSON?: Just return a Python dict object. This recipe shows how.
How do I return an image?: Just return raw bytes plus a MIME type as shown by this recipe.
How do I return audio?: Just return raw bytes plus a MIME type as shown by this recipe.

Need more help? Reach out over email or join our Discord.

Install our Python library: From the folder containing api.py, run pip install steamship.
Run 'ship deploy': Installing our python library makes the ship deploy command available. Your first time, you will be walked through a few questions to configure your package.
Share the results: When deployment succeeds, you"ll see a URL that lets anyone try your API on the web or use it over HTTP.