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Description

CatchAll is an innovative web search API that prioritizes recall, aiming to uncover every real-world event rather than just the most prominent results. It meticulously scours over 2 billion web pages, which encompass a variety of sources such as press releases, corporate announcements, trade publications, industry-specific blogs, and local news, to provide comprehensive answer sets for critical research inquiries. Each search yields tens of thousands of potential pages, which are assessed for relevance and trustworthiness using AI, deduplicated via graph-based clustering, and organized into well-structured datasets containing entities, amounts, dates, and citations. In comparative assessments, CatchAll demonstrated a remarkable ability to uncover 64.5% more true positives than its closest competitor, significantly surpassing conventional AI research tools in terms of thoroughness. Furthermore, its continuous monitoring capability—available on a daily, weekly, or real-time basis—transforms sporadic searches into sustained intelligence streams, making it particularly effective for enumeration tasks where the emphasis is on recall rather than ranking. This unique approach ensures that users have access to a wealth of information that is both timely and relevant.

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

No images available

Screenshots View All

Integrations

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

Integrations

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

Pricing Details

$50/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

NewsCatcher

Country

United States

Website

newscatcherapi.com

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

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