embeddings-and-external-models

Generates embeddings and chunks inside Azure SQL Database with CREATE EXTERNAL MODEL, AI_GENERATE_EMBEDDINGS, AI_GENERATE_CHUNKS and sp_invoke_external_rest_endpoint, covering the database scoped credential naming rule, the permissions, the dimension budget that decides which embedding model fits, and the outbound allowlist. Use when someone asks to "create an external model", "call AI_GENERATE_EMBEDDINGS", "embed text in T-SQL", "chunk text in the database", or "call an Azure OpenAI endpoint from SQL"; when such a call fails on the credential secret, managed identity, permissions, HTTPS or a blocked domain; and when embedding a whole table in one statement runs for hours. This skill owns producing the vector and calling out of the engine; storing and searching it is vector-search-azure-sql, the pipeline around it is rag-on-azure-sql, and offline embedding from application code is outside this in-engine workflow.