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Description
INDICA Enterprise Search provides a fast and efficient way for organizations to navigate their systems and locate necessary data almost instantaneously. In contrast to other solutions in the market, INDICA's innovative data platform utilizes a patented approach to index both structured and unstructured data while prioritizing results based on relevance. This functionality empowers users to pinpoint the precise information they seek with minimal effort. Built on the foundation of our Basic Data Platform and Enterprise Search Module, the solution can be customized with additional features or modules to meet specific needs. Furthermore, it includes a sophisticated query builder that enables users to effortlessly formulate precise search queries that yield only pertinent results. The INDICA Enterprise Search allows for comprehensive filtering options, including document type, date, data source, paths, and access levels, ensuring users can tailor their search experience. Additionally, results can be sorted by various criteria such as date, name, size, and more, enhancing the overall efficiency of the search process. By leveraging INDICA Enterprise Search, organizations can maximize their data utilization and streamline their information retrieval operations.
Description
Oracle AI Vector Search is an innovative feature integrated into Oracle Database, specifically tailored for AI applications, which enables the querying of data based on its semantic meaning rather than relying solely on conventional keyword searches. This functionality empowers organizations to conduct similarity searches across both structured and unstructured datasets, allowing for retrieval of results that prioritize contextual relevance over precise matches. Employing vector embeddings to represent various forms of data—including text, images, and documents—it utilizes advanced vector indexing and distance metrics to quickly locate similar items. Moreover, it introduces a unique VECTOR data type along with SQL operators and syntax that enable developers to merge semantic searches with relational queries within a single database framework. As a result, this integration streamlines the data management process by negating the necessity for separate vector databases, ultimately minimizing data fragmentation and fostering a cohesive environment for both AI and operational data. The enhanced capability not only simplifies the architecture but also enhances the overall efficiency of data retrieval and analysis in complex AI workloads.
API Access
Has API
API Access
Has API
Integrations
JSON
My DSO Manager
Oracle Database
SQL
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
INDICA
Founded
2013
Country
Netherlands
Website
indica.nl/en/enterprise-search
Vendor Details
Company Name
Oracle
Country
United States
Website
www.oracle.com/database/ai-vector-search/
Product Features
Enterprise Search
AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery