Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Eliminate the uncertainty surrounding your users' true desires, as their search queries reveal their intentions most clearly. Utilizing real-time analytics can provide invaluable insights into user interactions with your content, equipping you with data that is not only measurable but also actionable to enhance your business growth. Cross-site search capabilities merge search outcomes from various sites, including different domains and sub-domains, making it ideal for content networks, corporations, universities, and other organizations with information spread across multiple platforms. You can refine search results to focus on specific pages, directories, posts, and more by applying crawler and result-level filters. Enhance the user experience by offering filters that adapt automatically to the content, allowing for a more tailored browsing experience. Moreover, gather critical insights about both your audience and your content, including detailed analytics on their search behaviors and preferences, ensuring you always stay ahead of their needs. This comprehensive understanding of user engagement can significantly inform your content strategy moving forward.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Datavolo
Drupal
Google Tag Manager
HubSpot CRM
HubSpot Customer Platform
IBM watsonx.data
Jira
Langflow
Magento
Shopify
WooCommerce
WordPress

Integrations

Datavolo
Drupal
Google Tag Manager
HubSpot CRM
HubSpot Customer Platform
IBM watsonx.data
Jira
Langflow
Magento
Shopify
WooCommerce
WordPress

Pricing Details

$19 per month
Free Trial
Free Version

Pricing Details

Free
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

SearchIQ

Country

United States

Website

www.searchiq.co

Vendor Details

Company Name

Vectara

Founded

2020

Country

United States

Website

vectara.com

Product Features

Product Features

Enterprise Search

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

Alternatives

Alternatives

Semantee Reviews

Semantee

Semantee.AI
SearchSense Reviews

SearchSense

RecoSense Infosolutions