Embedding Service Configurations

• 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 Self-Signed SSL Certificates for the Embedding Service
  This configuration uses SSL with self-signed digital certificates.
• 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.