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About

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.

About

Open-source vector similarity search for Postgres. Supports exact and approximate nearest neighbor search for L2 distance, inner product, and cosine distance.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

Developers interested in an open source vector similarity search for Postgres

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

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

Company Information

pgvector
github.com/pgvector/pgvector

Alternatives

Alternatives

Embeddinghub

Embeddinghub

Featureform
txtai

txtai

NeuML

Categories

Semantic Search Supported
Vector Databases Supported

Categories

Vector Databases Supported

Integrations

Apify Not Supported
Cake AI Not Supported
JSON Supported
Langtrace Not Supported
My DSO Manager Supported
MyDBA.dev Not Supported
Nebius Token Factory Not Supported
Oracle Database Supported
PostgreSQL Not Supported
SQL Supported
Supabase Not Supported
Superexpert.AI Not Supported

Integrations

Apify Supported
Cake AI Supported
JSON Not Supported
Langtrace Supported
My DSO Manager Not Supported
MyDBA.dev Supported
Nebius Token Factory Supported
Oracle Database Not Supported
PostgreSQL Supported
SQL Not Supported
Supabase Supported
Superexpert.AI Supported
Claim Oracle AI Vector Search and update features and information
Claim Oracle AI Vector Search and update features and information
Claim pgvector and update features and information
Claim pgvector and update features and information