+
+

Related Products

  • Couchbase
    418 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • NINJIO
    416 Ratings
    Visit Website
  • DbVisualizer
    584 Ratings
    Visit Website
  • SCIKIQ
    14 Ratings
    Visit Website
  • Cloudflare
    2,035 Ratings
    Visit Website
  • Denodo
    387 Ratings
    Visit Website
  • Concord
    237 Ratings
    Visit Website
  • Azore CFD
    26 Ratings
    Visit Website
  • TE Recruit
    637 Ratings
    Visit Website

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

Qdrant is a high-performance, composable vector search engine built in Rust for production-grade semantic, hybrid, and agentic workloads. Combine dense vectors, sparse vectors, metadata filters, multi-vector representations, and custom scoring as primitives at query time. Written in Rust for memory efficiency, SIMD optimization, and predictable performance without garbage collection pauses. No wrappers, no bolt-ons, no legacy compromises — just a custom HNSW implementation and storage engine built specifically for vector workloads.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Anyone interested in a vector search engine

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Qdrant
Founded: 2021
Germany
qdrant.tech/

Alternatives

Alternatives

txtai

txtai

NeuML
Vespa

Vespa

Vespa.ai

Categories

Categories

Integrations

Airtool
Azure Marketplace
Broxi AI
ChatGPT Plus
ChatGPT Pro
Cognee
CogniSync
Database Mart
Dropstone
IBM watsonx.data
JSON
Knolli
Kong AI Gateway
Leo
Oracle Database
Peaka
SQL
Skott
Workers by Delos
voyage-code-3

Integrations

Airtool
Azure Marketplace
Broxi AI
ChatGPT Plus
ChatGPT Pro
Cognee
CogniSync
Database Mart
Dropstone
IBM watsonx.data
JSON
Knolli
Kong AI Gateway
Leo
Oracle Database
Peaka
SQL
Skott
Workers by Delos
voyage-code-3
Claim Oracle AI Vector Search and update features and information
Claim Oracle AI Vector Search and update features and information
Claim Qdrant and update features and information
Claim Qdrant and update features and information