Explore AI Vector Search using RAG and enterprise LLMs for highly relevant, contextual results in similarity searches and more with your business data.

Sep 9, 2024 · We can now generate vectors using the VECTOR_EMBEDDING function. In the following example we generate a vector for the text "Quick test". As you can see, the resulting …

Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads and allows you to query data based on semantics, rather than keywords.

Jan 2, 2026 · This chapter explores how Oracle 23AI meets that demand by introducing native support for vector data types, AI vector search, and in-memory vector operations —features …

3 days ago · Oracle AI Database 26ai: The foundation for these agents, this version features native vector search and AI-driven workflows, ensuring agents have real-time, high-speed …

Explore Oracle AI Vector Search features including VECTOR data type, flexible indexing, SQL querying and enhanced security for next-gen AI applications.

A vector database, vector store or vector search engine is a database that stores and retrieves embeddings of data in vector space. [1] Vector databases typically implement approximate …

Explore cutting-edge features such as vector data types and AI-powered vector search, revolutionizing data retrieval in modern AI applications. Learn how schema privileges and the …

Oct 14, 2025 · This post describes how to get started with Oracle AI Vector Search in Oracle AI Database.

Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads and allows you to query data based on semantics, rather than keywords. This book describes the new features …