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Average Ratings 0 Ratings

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ease
features
design
support

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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

Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes. Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Datavolo No 
IBM watsonx.data No 
Langflow No 
Model Context Protocol (MCP) No 

Integrations

Datavolo Yes 
IBM watsonx.data Yes 
Langflow Yes 
Model Context Protocol (MCP) Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook 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 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

INDICA

Founded

2013

Country

Netherlands

Website

indica.nl/en/enterprise-search

Vendor Details

Company Name

Vectara

Founded

2020

Country

United States

Website

vectara.com

Product Features

Enterprise Search

AI / Machine Learning Yes 
Faceted Search / Filtering Yes 
Full Text Search Yes 
Fuzzy Search Yes 
Indexing Yes 
Text Analytics Yes 
eDiscovery Yes 

Product Features

Enterprise Search

AI / Machine Learning No 
Faceted Search / Filtering No 
Full Text Search No 
Fuzzy Search No 
Indexing No 
Text Analytics No 
eDiscovery No 

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