DataHub's Context Intelligence mines validated SQL query history to build a semantic index for AI agents. At Miro, agents hit ...
11d
D&B's database of 642 million businesses was built for humans, not AI agents. So they rebuilt it.
D&B rebuilt its Commercial Graph of 642 million businesses so AI agents can verify business identity in real time — without ...
Goes beyond traditional RAG knowledge bases by accumulating conversations, work records, decision context, and outputs ...
These new capabilities could help CIOs reduce the complexity of deploying AI agents into production, analysts say.
ClickHouse, developer of its popular namesake cloud database platform, on Wednesday debuted its House Mates channel program for reseller, technology, ISV and service partners as the company looks to ...
Actian’s Ole Olesen-Bagneux explains why AI agents need metadata, lineage, context, and governance before enterprises can ...
AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make confident, expensive mistakes.
Snowflake is a Hold due to its premium valuation, hyperscaler margin pressures, and intensifying competition from Databricks.
You can't spell Ainsworth without AI. It's a small linguistic coincidence, but it's also a neat shorthand for the conversation I had with John Ainsworth, Executive ...
Spiceworks on MSN
Beyond RAG as a buzzword: Aligning AI retrieval with real-world use
RAG talk is prevalent, yet simply stating “we used RAG” fails to provide much information about its effectiveness in a production environment. A more effective approach is to examine how you align ...
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