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What is Rinalogy Search?

The vast majority of search inquiries concerning Big Data produce an array of results that can be daunting to navigate effectively. Each user has specific needs, and simply depending on general queries and aggregated data often leads to unsatisfactory results. Various sectors such as eDiscovery, healthcare, finance, law enforcement, consulting, and academia demand the ability to quickly find accurate information. Rinalogy Search stands out as a sophisticated search engine that utilizes machine learning to continually adapt to individual user preferences, providing tailored results based on immediate user interactions. It enhances the search process by offering relevancy scores for documents returned in response to queries, thereby improving the overall experience. Additionally, Rinalogy Search can seamlessly integrate into existing IT infrastructures, ensuring data is accessed securely while remaining close to the source. Users gain the ability to weight different search concepts, promoting a more nuanced and focused approach to information retrieval. This cutting-edge tool not only simplifies the navigation of intricate datasets but also significantly boosts the accuracy and efficiency with which users can attain the insights they seek, thereby transforming how individuals engage with information. Ultimately, Rinalogy Search represents a pivotal advancement in the realm of data discovery.

What is Mixpeek?

Storing data in object storage systems, which often includes various formats such as videos, images, audio files, and documents, can lead to difficulties in searching for particular content. Mixpeek effectively tackles this challenge by integrating with your storage bucket and employing extractors to evaluate and dissect each file; for example, a video can be segmented into its scenes, keyframes, transcripts, faces, and any visible text, while a PDF can be broken down into its separate pages, tables, and figures. The components that are extracted are then embedded and cataloged alongside their timestamps and source paths, which streamlines the retrieval process. After this extraction phase is finalized, users can execute queries; the retrieval system enhances this capability by combining vector search, filtering, and reranking all within a single request. Additionally, taxonomies empower users to sort files based on their specific requirements, while clusters aid in organizing content that lacks tags. This innovative solution is offered as an API and is supplemented with SDKs for Python and JavaScript, as well as an MCP server tailored for agents, along with a web application named Studio to improve user engagement with the data. In summary, Mixpeek revolutionizes the manner in which organizations handle and access their multimedia content, thus enhancing operational efficiency and effectiveness.

Media

Media

Integrations Supported

Bing
Elasticsearch
Google
Microsoft SharePoint
MongoDB
MongoDB Atlas
MySQL
PostgreSQL
SQL

Integrations Supported

Amazon Bedrock
Amazon S3
Azure Blob Storage
Cloudflare R2
Fireworks AI
Google Cloud Storage
Model Context Protocol (MCP)
Mux
Together AI
iconik

API Availability

API Availability

Has API

Pricing Information

$50 per month
Free Trial Offered?

Pricing Information

$25/month
The Build plan starts at $25 per month and includes $10 in monthly usage credits; additional usage is billed based on consumption.

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Rinalogy

Company Location

United States

Company Website

www.rinalogy.com/search

Company Facts

Organization Name

Mixpeek

Date Founded

2022

Company Location

United States

Company Website

mixpeek.com

Categories and Features

Big Data

Not specified

Enterprise Search

AI / Machine Learning
Full Text Search
Fuzzy Search
Text Analytics

Semantic Search

Not specified

Categories and Features

Semantic Search

Not specified

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