https://oracle.github.io/ai-optimizer/main/advanced/api_examples/index.htmlThe AI Optimizer API Server exposes all features programmatically via REST endpoints. You can explore the full API reference through the built-in Swagger UI at /v1/docs when the server is running. All API requests require authentication using the x-api-key header, which must match the API key configured on the server.Hugoen-ushttps://oracle.github.io/ai-optimizer/main/advanced/api_examples/oci_embed/index.htmlMon, 01 Jan 0001 00:00:00 +0000https://oracle.github.io/ai-optimizer/main/advanced/api_examples/oci_embed/index.htmlOverview Creating a vector store from documents stored in OCI Object Storage is a two-step API workflow: Download objects from an OCI bucket to the server’s temporary staging area. Embed the downloaded files into a new vector store. This separation is intentional — you can accumulate files from multiple downloads (or mix in files from other sources like local uploads) before triggering the embed step.