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MQRLD: A Groundbreaking Platform for Efficient Multimodal Data Retrieval, Offering Transparent Storage, Learned Indexing, and Superior Query Performance

MQRLD: A Groundbreaking Platform for Efficient Multimodal Data Retrieval, Offering Transparent Storage, Learned Indexing, and Superior Query Performance

Practical Solutions for Multimodal Data Retrieval

Challenges in Data Retrieval

Managing and retrieving data from multiple sources, such as text, audio, video, and images, becomes crucial as data volume and complexity increase, especially in sectors like artificial intelligence and big data analytics.

Existing Limitations

Current systems struggle to handle unstructured data effectively and execute complex queries across multiple formats.

Current Solutions

The Multimodal Data Retrieval Platform with Query-aware Feature Representation and Learned Index based on Data Lake (MQRLD) addresses these limitations by supporting flexible, transparent storage and introducing a multimodal data feature representation technique. The platform enables rich hybrid queries, optimizing the retrieval process across various data types while maintaining high performance in both accuracy and speed.

Performance Advantages

Performance tests showed that the platform outperformed traditional methods, demonstrating faster query times, higher accuracy rates, and a recall rate of 95% for complex multimodal queries.

API Support

The platform includes a multimodal open API (MOAPI) to perform hybrid queries across different data types, supporting several query types, including numeric equal, range, and vector-based nearest neighbor searches.

Value and Industry Applications

The MQRLD platform significantly advances multimodal data retrieval, providing significant benefits for industries like healthcare, law enforcement, and artificial intelligence applications.

AI Integration for Business Advancement

Discover how AI can redefine your way of work, stay competitive, and identify automation opportunities with MQRLD for efficient multimodal data retrieval.

AI KPI Management and Sales Processes

Learn how AI can redefine your sales processes and customer engagement, and explore solutions at itinai.com.

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Vladimir Dyachkov, Ph.D
Editor-in-Chief itinai.com

I believe that AI is only as powerful as the human insight guiding it.

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