Accuracy of the information retrieval pipeline plays a key role in the quality of advanced Retrieval Augmented Generation (RAG) applications. Using the new Semantic Ranker Solution Accelerator, you can extend Azure Database for PostgreSQL with a semantic ranker model and use it directly in PostgreSQL queriesto boost accuracy of the vector search results.
This solution accelerator provides automated deployment scriptsthat you can use to provision a semantic ranker model as an Azure Machine Learning inference endpoint.It also includes SQL user-defined functions for PostgreSQLthat you can use to integrate the semantic ranker model into SQL queries.
This solution accelerator requires azure_ai extension.