Oracle AI Vector SearchOracle
|
||||||
Related Products
|
||||||
About
Company data stored in object storage as video, images, audio and documents can be difficult to search by content.
Mixpeek connects to your bucket and runs extractors over each file. A video becomes scenes, keyframes, transcripts, faces and on-screen text. A PDF becomes pages, tables and figures. Each piece is embedded and stored with its timestamps and source path.
Then you query it. Retrievers combine vector search, filters and reranking in one call. Taxonomies label files against your own categories. Clusters group what nobody has labeled yet.
It ships as an API, Python and JavaScript SDKs, an MCP server for agents, and Studio, a web app.
|
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.
|
|||||
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
|
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
|
|||||
Audience
Developers, media and ad-tech teams, and data teams that keep large video, image, audio and document archives in S3, GCS or Azure.
|
Audience
Enterprises and developers who need to build AI applications that perform semantic search and generate context-aware results directly on business data
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
$25/month
The Build plan starts at $25 per month and includes $10 in monthly usage credits; additional usage is billed based on consumption.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
|||||
Company InformationMixpeek
Founded: 2022
United States
mixpeek.com
|
Company InformationOracle
United States
www.oracle.com/database/ai-vector-search/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Amazon Bedrock
Supported
Amazon S3
Supported
Azure Blob Storage
Supported
Cloudflare R2
Supported
Fireworks AI
Supported
Google Cloud Storage
Supported
JSON
Not Supported
Model Context Protocol (MCP)
Supported
Mux
Supported
My DSO Manager
Not Supported
|
Integrations
Amazon Bedrock
Not Supported
Amazon S3
Not Supported
Azure Blob Storage
Not Supported
Cloudflare R2
Not Supported
Fireworks AI
Not Supported
Google Cloud Storage
Not Supported
JSON
Supported
Model Context Protocol (MCP)
Not Supported
Mux
Not Supported
My DSO Manager
Supported
|
|||||
|
|
|