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What is X1 Enterprise Collect?

The index-in place technology of the X1 Enterprise Collect Platform stands out as a groundbreaking feature within the industry. It enables users to conduct real-time searches and gather electronically stored information (ESI) directly from both cloud repositories and custodian machines in an iterative manner. This capability facilitates genuine Early Data Assessments (EDAs), yielding results within minutes rather than taking weeks. By incorporating M365, the X1 Enterprise Collect platform effectively tackles the significant challenge of excessive and costly overcollection of cloud data sources. X1's unique and optimized methodology empowers organizations to lower processing expenses while enhancing review efficiency through direct uploads to RelativityOne and other review platforms. The X1 Enterprise Collect Platform is accessible in various formats, including cloud-based, on-premise, and through an "on demand" service offered by X1 professionals, ensuring flexibility and support for diverse organizational needs. This multifaceted availability further strengthens its appeal to businesses looking for efficient data collection solutions.

What is Vectara?

Vectara provides a search-as-a-service solution powered by large language models (LLMs). This platform encompasses the entire machine learning search workflow, including steps such as extraction, indexing, retrieval, re-ranking, and calibration, all of which are accessible via API. Developers can swiftly integrate state-of-the-art natural language processing (NLP) models for search functionality within their websites or applications within just a few minutes. The system automatically converts text from various formats, including PDF and Office documents, into JSON, HTML, XML, CommonMark, and several others. Leveraging advanced zero-shot models that utilize deep neural networks, Vectara can efficiently encode language at scale. It allows for the segmentation of data into multiple indexes that are optimized for low latency and high recall through vector encodings. By employing sophisticated zero-shot neural network models, the platform can effectively retrieve potential results from vast collections of documents. Furthermore, cross-attentional neural networks enhance the accuracy of the answers retrieved, enabling the system to intelligently merge and reorder results based on the probability of relevance to user queries. This capability ensures that users receive the most pertinent information tailored to their needs.

Media

Media

Integrations Supported

Datavolo
Dropbox
IBM watsonx.data
Langflow
Microsoft 365
Microsoft OneDrive
Microsoft Outlook
Microsoft SharePoint
Microsoft Teams
Relativity

Integrations Supported

Datavolo
Dropbox
IBM watsonx.data
Langflow
Microsoft 365
Microsoft OneDrive
Microsoft Outlook
Microsoft SharePoint
Microsoft Teams
Relativity

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

X1

Date Founded

2003

Company Location

California

Company Website

www.x1.com/products/x1-enterprise-collect-platform/

Company Facts

Organization Name

Vectara

Date Founded

2020

Company Location

United States

Company Website

vectara.com

Categories and Features

Enterprise Search

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

Categories and Features

Enterprise Search

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

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