Audience

Enterprises and developers who need to build AI applications that perform semantic search and generate context-aware results directly on business data

About Oracle AI Vector Search

Oracle AI Vector Search is a capability within Oracle Database designed for AI workloads that enables querying data based on semantics or meaning rather than traditional keyword matching. It allows organizations to search both structured and unstructured data using similarity search, making it possible to retrieve results based on contextual relevance instead of exact values. It uses vector embeddings to represent data such as text, images, or documents, and applies specialized vector indexes and distance functions to efficiently identify similar items. It introduces a native VECTOR data type, along with SQL operators and syntax that allow developers to combine semantic search with relational queries on business data in a single database environment. This eliminates the need for separate vector databases and reduces data fragmentation by keeping AI and operational data unified.

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Pricing

Free Trial:
Free Trial available.

Integrations

API:
Yes, Oracle AI Vector Search offers API access
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Company Information

Oracle
United States
www.oracle.com/database/ai-vector-search/

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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Phone Support
Online

Oracle AI Vector Search Frequently Asked Questions

Q: What kinds of users and organization types does Oracle AI Vector Search work with?
Q: What languages does Oracle AI Vector Search support in their product?
Q: What kind of support options does Oracle AI Vector Search offer?
Q: What other applications or services does Oracle AI Vector Search integrate with?
Q: Does Oracle AI Vector Search have an API?
Q: What type of training does Oracle AI Vector Search provide?
Q: Does Oracle AI Vector Search offer a free trial?

Oracle AI Vector Search Product Features