Oracle AI Vector SearchOracle
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Rinalogy SearchRinalogy
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Related Products
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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.
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About
Almost any search query applied to Big Data returns a very large number of results that are often practically impossible to review. Every user has specific needs. Finding information based on a user query and general data statistics does not produce useful results. eDiscovery, healthcare, financial services, crime, consulting, academia and other fields need to be able to quickly find accurate information. Rinalogy Search is a next generation search tool that uses machine learning to interactively learn from each user to return personalized results based on user’s feedback in real time. Rinalogy Search returns relevancy scores for individual documents in the results for each query. Rinalogy Search can be deployed in clients’ IT infrastructure, close to your data and behind your firewall. Rinalogy allows users to define the level of importance of search concepts by assigning weights to them, which helps finding the results You are looking for.
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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
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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
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Audience
Enterprises and developers who need to build AI applications that perform semantic search and generate context-aware results directly on business data
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Audience
Companies in need of a big data solution
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
$50 per month
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationOracle
United States
www.oracle.com/database/ai-vector-search/
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Company InformationRinalogy
United States
www.rinalogy.com/search
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Alternatives |
Alternatives |
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Categories |
Categories |
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Enterprise Search Features
AI / Machine Learning
Supported
eDiscovery
Not Supported
Faceted Search / Filtering
Not Supported
Full Text Search
Supported
Fuzzy Search
Supported
Indexing
Not Supported
Text Analytics
Supported
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Integrations
SQL
Supported
Bing
Not Supported
Elasticsearch
Not Supported
Google
Not Supported
JSON
Supported
Microsoft SharePoint
Not Supported
MongoDB
Not Supported
MongoDB Atlas
Not Supported
My DSO Manager
Supported
MySQL
Not Supported
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Integrations
SQL
Supported
Bing
Supported
Elasticsearch
Supported
Google
Supported
JSON
Not Supported
Microsoft SharePoint
Supported
MongoDB
Supported
MongoDB Atlas
Supported
My DSO Manager
Not Supported
MySQL
Supported
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