Learn how to use PostgreSQL + PGVector as a smarter, more contextual retrieval engine for GenAI apps Discover best practices for embedding storage, indexing, and relevance scoring in Azure Database ...

Abstract: Spatial keyword query has emerged as a critical service in mobile cloud, enabling cloud servers to retrieve spatio-textual objects within a mobile user’s query range that contain specified ...

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

I search for things all the time. And, yes, that search also includes my computer's file system. I also search YouTube, the web, and even AI services. It's inevitable at this point, and to that end, I ...

Today’s digital age demands that businesses analyze huge volumes of data swiftly and seamlessly. For organizations using PostgreSQL as their operational database, integrating it with a powerful data ...

Google has begun to release details on how artificial intelligence will improve advertising. The company on Tuesday introduced a suite for search campaigns with one-click features where AI learns from ...

mcp = FastMCP("retriever") @mcp.tool() def knowledgebase_retriever(state: dict): """ keyword: /kb Retrieve the query information from knowledgebase stored in postgres database. This tool will be used ...