"All in one The core of Database 26ai revolves around combining different data types in a single query. While the previous generation already introduced vector search, 26ai goes further. Searching PDFs, videos, images, and tables in a single query is made possible by blending vectors with relational, text, JSON, graph, and spatial data. This can be combined with LLMs and the Model Context Protocol for maximum flexibility."
"Agents take on a leading role as "first-class citizens." In concrete terms, this means that agents can be defined, run, and managed within Oracle's Autonomous AI Database. This can be as simple as using the Private Agent Factory in a no-code manner. In other words, in-depth technical knowledge is no longer required to roll out AI agents on Oracle data."
Oracle AI Database 26ai replaces Database 23ai and restores AI in the product name to signal renewed emphasis on AI capabilities. 26ai consolidates earlier advances into an AI-native platform for production workloads at scale. The database enables single-query access across PDFs, videos, images, tables, vectors, relational data, text, JSON, graph, and spatial formats. Integrated LLMs and the Model Context Protocol provide flexible model-driven workflows. Agents are treated as first-class citizens, allowing definition, execution, and management inside the Autonomous AI Database with no-code Private Agent Factory options. The Autonomous AI Lakehouse converts warehouses and data lakes into an open, multi-vendor AI lakehouse using Apache Iceberg and multi-cloud object storage.
Read at Techzine Global
Unable to calculate read time
Collection
[
|
...
]