DataHub's Context Intelligence mines validated SQL query history to build a semantic index for AI agents. At Miro, agents hit ...
The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via cosine similarity — is effective for unstructured semantic search. However, for ...
DataHub, a leading context platform company, is introducing a major new release of DataHub Cloud that can ingest, structure, improve, and serve trusted context to analytics agents, increasing their ...
Unravel Data, the data platform optimization company, today unveiled Arvix AI, an agentic engine that autonomously tunes and ...
For most enterprise technology leaders, artificial intelligence has become the top strategic priority. The results have been ...
Goes beyond traditional RAG knowledge bases by accumulating conversations, work records, decision context, and outputs generated by AI agents Converts scattered documents, files, databases, and ...
Redpoint Global, the Data Readiness Company, today introduced Redpoint Identity Studio, a Snowflake Native Application that ...
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.
DataHub will be showcasing the new release at Snowflake Summit next week, Databricks Data + AI Summit the week of June 15 and the DataHub June Town Hall on June 25 at 11 a.m. ET / 8 a.m. PT. "Starting ...
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