Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Various business operations often lead to the generation of numerous documents, yet many struggle to efficiently track everything and locate similar or related information pertaining to each document, context, or phrase. Luma7 addresses these challenges by automatically creating connections between documents without relying on keywords, metadata, or tags. Our algorithms analyze the text within each document to uncover all potential relationships by comprehending the deeper connections that exist. This approach allows for effective management of all produced documents, facilitates linkages across diverse sources of documentation, and supports fully automated link creation among multiple documents, as well as relationships between concepts and documents. Additionally, we offer automated tagging for each document, which includes identifying relevant keywords not explicitly mentioned in the text, streamlining connection processes across our entire archive of articles, implementing entity recognition throughout documents, providing support in multiple languages, and much more. With Luma7, businesses can improve their document management practices and enhance their ability to find and connect vital information seamlessly.
Description
The only search engine software that features a fully integrated SQL relational database (RDBMS) architecture is designed to enhance application development while providing significant benefits for complex search needs. With its adaptable framework, it allows for the introduction of unforeseen search capabilities as they become necessary. Boasting a vocabulary of 250,000 words and associations for natural language queries, it enables the storage and retrieval of text documents of any size within conventional database tables. This software adeptly addresses the challenging task of merging text searching with an RDBMS while offering customization options for various applications such as content management, e-commerce, portals, or knowledge management systems. It also supports wildcards and phrases, making it user-friendly and easy to manage. The backbone of all Thunderstone products is Texis, the core technology that empowers this sophisticated search engine software, which efficiently queries and organizes databases rich in natural language text. Its unique capability positions it as an essential tool for businesses needing to navigate vast amounts of information seamlessly.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Luma7
Country
Switzerland
Website
luma7.com/biz/biz7.php
Vendor Details
Company Name
Thunderstone
Founded
1981
Country
United States
Website
www.thunderstone.com/products-for-search/texis/
Product Features
Text Mining
Boolean Queries
No
Document Filtering
No
Graphical Data Presentation
No
Language Detection
No
Predictive Modeling
No
Sentiment Analysis
No
Summarization
No
Tagging
Yes
Taxonomy Classification
No
Text Analysis
Yes
Topic Clustering
No
Product Features
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
Yes
Database Conversion
No
Mobile Access
Yes
Monitoring
No
NOSQL
Yes
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No