Configure the Embedding Service

Use the following tutorials to configure the container to use for vector embedding generation.

For information about the bash setup scripts used in the included examples, and for instructions on how to copy them from your container image, see Configure the Private AI Services Container.

• Install with HTTP and Default Models
  This is the simplest configuration. The API Key and SSL are not used. The default embedding models are used with the HTTP port 8080.
• Install with HTTP with Models and Advanced Options
  This tutorial allows you to define vector embedding models that do not ship with the container using the JSON configuration file. For a more advanced configuration, you can optionally choose to specify the HTTP port, container version, and or container name.
• Install with HTTP/SSL with Models and Advanced Options
  This configuration combines an SSL configuration with additional embedding models and the configuration file. For a more advanced configuration, you can optionally choose to specify the HTTP port, container version, and or container name.
• Use the OpenAI Python SDK Client with HTTP or HTTP/SSL
  The OpenAI Python client works with the container when using HTTP or HTTP/SSL. You just need to specify the correct HTTP endpoint, along with a valid API KEY when using HTTP/SSL.