Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Researchers from the Johns Hopkins Kimmel Cancer Center and The Johns Hopkins University have created a novel database structure that allows investigators anywhere to more easily study multiple types ...

TanStack Query has once again secured first place as the most popular library, while the React feature Server Components ...

The thick client is making a comeback. Here’s how next-generation local databases like PGlite and RxDB are bringing ...

The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

Warehouse-native access is emerging as the fastest, safest path to unified customer intelligence. It isn't without its challenges. As customer data platforms (CDPs) continue to evolve, zero-copy ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

Earlier this month, when U.S. District Judge Amit Mehta issued penalties against Google for monopolizing the search engine market, he stopped short of the harshest ones — like forcing the breakup of ...

Rather than spending their time executing manual queries, data analysts will increasingly operate like AI engineers—reviewing, refining, and validating AI-generated outputs. AI is not only reshaping ...