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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.

What is Asimov?

Asimov provides a crucial foundation for both AI-search and vector-search, enabling developers to effortlessly upload a variety of content sources, including documents and logs, which it subsequently processes by automatically chunking and embedding them, thus allowing access through a unified API that enhances semantic search, filtering, and relevance for AI applications. By optimizing the management of vector databases, embedding pipelines, and re-ranking systems, it simplifies the ingestion process, metadata parameterization, usage monitoring, and retrieval within an integrated framework. Through its features that facilitate content addition via a REST API and the ability to perform semantic searches with customized filtering options, Asimov equips teams to develop extensive search functionalities with minimal infrastructure demands. The platform adeptly manages metadata, automates the chunking process, oversees embedding tasks, and supports storage solutions like MongoDB, while also providing user-friendly tools such as a comprehensive dashboard, usage analytics, and seamless integration capabilities. Additionally, its holistic approach removes the challenges associated with traditional search systems, establishing itself as an essential resource for developers seeking to enhance their applications with sophisticated search functionalities. This allows organizations to focus more on innovation and less on the complexities of search infrastructure.

Media

Media

Integrations Supported

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

Integrations Supported

MongoDB

API Availability

Has API

API Availability

Has API

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.

Pricing Information

$20 per month
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Mixpeek

Date Founded

2022

Company Location

United States

Company Website

mixpeek.com

Company Facts

Organization Name

Asimov

Company Location

United States

Company Website

www.asimov.mov/

Categories and Features

Semantic Search

Not specified

Categories and Features

Semantic Search

Not specified

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