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What is Kleeto?

Kleeto delivers extensive information management solutions, focusing on the development of smart documents designed for contemporary enterprises. Our platform facilitates the comprehensive digital transformation of documents while maintaining data integrity, allowing for efficient searches through a sophisticated keyword indexing system. Users have the ability to create personalized workflows that cater to their unique business requirements, further supported by our cutting-edge automation technology. Robust security for all data operations is ensured by our multi-layered encryption, while access to confidential documents is restricted to authorized individuals only. With our powerful search functionalities, the processes of locating, retrieving, and organizing documents are as straightforward as a single mouse click. The user-friendly and well-organized interface enhances accessibility and mobility, promoting a unified organizational culture that simplifies data recovery, sharing, storage, management, and retrieval. Furthermore, our advanced lifecycle management dramatically reshapes the landscape of enterprise content management. We are dedicated to document security by utilizing multi-layer protection strategies, offering our clients peace of mind. Ultimately, Kleeto seeks to transform the way businesses handle their information, guaranteeing efficiency, security, and effectiveness at every stage, while also adapting to the ever-evolving needs of the digital landscape. This commitment to innovation ensures that our clients remain competitive in a rapidly changing market.

What is Cohere Rerank?

Cohere Rerank is a sophisticated semantic search tool that elevates enterprise search and retrieval by effectively ranking results according to their relevance. By examining a query in conjunction with a set of documents, it organizes them from most to least semantically aligned, assigning each document a relevance score that lies between 0 and 1. This method ensures that only the most pertinent documents are included in your RAG pipeline and agentic workflows, which in turn minimizes token usage, lowers latency, and enhances accuracy. The latest version, Rerank v3.5, supports not only English but also multilingual documents, as well as semi-structured data formats such as JSON, while accommodating a context limit of 4096 tokens. It adeptly splits lengthy documents into segments, using the segment with the highest relevance score to determine the final ranking. Rerank can be integrated effortlessly into existing keyword or semantic search systems with minimal coding changes, thereby greatly improving the relevance of search results. Available via Cohere's API, it is compatible with numerous platforms, including Amazon Bedrock and SageMaker, which makes it a flexible option for a variety of applications. Additionally, its straightforward integration process allows businesses to swiftly implement this tool, significantly enhancing their data retrieval efficiency and effectiveness. This capability not only streamlines workflows but also contributes to better-informed decision-making within organizations.

Media

Media

Integrations Supported

Integrations Supported

Amazon Bedrock
Amazon SageMaker
Cohere
Google Docs
Google Sheets
Google Slides
JSON
Microsoft Excel
Slack

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Kleeto

Date Founded

2009

Company Location

India

Company Website

www.kleeto.in/

Company Facts

Organization Name

Cohere

Date Founded

2019

Company Location

Canada

Company Website

cohere.com/rerank

Categories and Features

Document Management

Not specified

Categories and Features

Reranking Models

Not specified

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