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ease
features
design
support

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Description

Discover everything you need across all applications using a single search interface and enhance productivity with AI-driven search capabilities. Avoid the hassle of repeatedly requesting links or recreating documents that are already available. With AI-enhanced workplace search, you can quickly locate any required information. Engage with Findr to obtain answers, generate summaries, and draft emails while utilizing pertinent data, including document citations. Integrate your preferred apps like Gmail, Slack, Jira, and Drive to respond to customer inquiries promptly, access information swiftly, and make informed decisions grounded in organizational knowledge. Findr establishes real-time connections with your applications, enabling you to utilize workplace search immediately after linking your first app. The platform places a strong emphasis on security through advanced encryption, a secure infrastructure, and rigorous access controls. You can explore further to learn about our comprehensive measures for safeguarding all data. We utilize search APIs to retrieve information instantly, ensuring you receive the most current data at your fingertips. This innovative approach not only enhances efficiency but also transforms the way teams collaborate and communicate in the workplace.

Description

Redis Enterprise offers a robust real-time indexing, querying, and full-text search engine that is accessible both on-premises and as a cloud-managed service. This real-time search capability is optimized for rapid indexing and data ingestion, utilizing high-performance in-memory data structures developed in C. You can expand and partition indexes across multiple shards and nodes, enhancing both speed and memory capacity. With an impressive five-nines availability and Active-Active failover, uninterrupted operations are ensured in any circumstance. The real-time search feature of Redis Enterprise enables users to swiftly establish primary and secondary indexes on Hash and JSON datasets through an incremental indexing method, which facilitates quick index creation and removal. These indexes empower users to perform queries at remarkable speeds, execute complex aggregations, and filter data based on properties, numeric ranges, and geographical distances, thus enhancing overall data accessibility. By leveraging these capabilities, organizations can significantly improve their data management and retrieval processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Archon Data Store
Camunda
Confluence
GitHub
Gmail
Google Drive
Jira
Microsoft Outlook
Microsoft Teams
Notion
Redis
Slack

Integrations

Archon Data Store
Camunda
Confluence
GitHub
Gmail
Google Drive
Jira
Microsoft Outlook
Microsoft Teams
Notion
Redis
Slack

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
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

Findr

Country

India

Website

www.usefindr.com

Vendor Details

Company Name

Redis

Country

United States

Website

redis.com/modules/redis-search/

Product Features

Enterprise Search

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

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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