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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.

What is Amazon Kendra?

Amazon Kendra serves as a sophisticated enterprise search solution that emphasizes both accuracy and ease of use, all powered by cutting-edge machine learning technology. This innovative tool significantly improves natural language search capabilities on your websites and applications, enabling users to efficiently find the information they need amid the vast array of content within your organization. Instead of relying solely on basic keywords, users can pose natural language questions, which allows them to receive precise answers, access frequently asked questions, or retrieve entire documents seamlessly. This functionality alleviates the challenges of sifting through lengthy lists of links, where users often feel uncertain if their desired information is present. Furthermore, Kendra effectively breaks down information silos by facilitating the integration of content from diverse sources, including file systems, SharePoint, intranet sites, and file-sharing services, into one cohesive platform for more efficient searching. As users interact with Kendra, the system's results become increasingly refined, thanks to its machine learning algorithms that learn which answers resonate most with users. This ongoing adaptation not only enhances the precision of search results but also creates a more personalized and effective search experience over time. Ultimately, Kendra empowers organizations to provide a more satisfying and productive search journey for their users.

Media

Media

Integrations Supported

AWS AI Services
Amazon Transcribe
Amazon Web Services (AWS)
BA Insight
Datavolo
IBM watsonx.data
Langflow
Microsoft SharePoint

Integrations Supported

AWS AI Services
Amazon Transcribe
Amazon Web Services (AWS)
BA Insight
Datavolo
IBM watsonx.data
Langflow
Microsoft SharePoint

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$2.50 per hour
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

Vectara

Date Founded

2020

Company Location

United States

Company Website

vectara.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/kendra/

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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