LLM Data Listing Ranking for Low-Latency Secure Data Exchange
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Solution Overview
Problem
Existing data sharing methods are cumbersome, slow, and inefficient, particularly for smaller entities, and do not allow scalable sharing or real-time access to updated data, leading to latency and security concerns.
Innovation Solution
A data exchange platform utilizing a large language model (LLM) for embedding and ranking data listings, enabling secure, scalable, and user-specific ranking of data assets, with features like embeddings, search queries, and relevance explanations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional data transfer methods are used, then data can be shared between entities, but the process becomes cumbersome and introduces latency
Solution Approach 1:
The patent applies the copying principle by creating a virtual copy of the data through a data virtualizer. Instead of physically transferring data between entities, the system creates a virtual representation that allows querying and analysis without actual data movement. This eliminates transfer latency while maintaining data accessibility.
Solution Approach 2:
The patent introduces a data virtualizer as an intermediary component between data providers and consumers. This mediator layer abstracts the physical data storage location and enables access without direct data transfer. The intermediary handles the complexity of data location and retrieval, significantly reducing transfer time and improving sharing efficiency.
2Ease of operation
If data is transferred to allow access, then smaller entities can access data sets, but control over data usage is lost
Solution Approach 1:
The system creates a virtual copy of the data through the data virtualizer, which maintains the original data's integrity and ownership. This virtual representation allows smaller entities to access and query data without receiving or storing the actual data, thereby maintaining control and security while improving accessibility.
Solution Approach 2:
The data virtualizer acts as a controlled intermediary that mediates between data owners and consumers. It provides a secure layer that allows queries and access operations while maintaining strict control over data usage. The intermediary ensures that data is accessed only according to predefined permissions without compromising ownership or security.
3Productivity
If traditional data sharing is used, then data can be exchanged, but costs and complexity increase for smaller entities
Solution Approach 1:
The patent applies copying by creating a virtual representation of data that eliminates the need for physical data transfer infrastructure. Smaller entities can access data through the virtualizer without needing to invest in complex transfer systems, storage facilities, or security infrastructure, thereby reducing complexity and costs.
Solution Approach 2:
The data virtualizer serves as a simplified intermediary that abstracts away the complex infrastructure requirements. It provides a user-friendly interface and automated data access mechanisms that eliminate the need for smaller entities to manage complex data transfer systems, reducing both complexity and operational costs.
Data Source
AI summary
A search engine of a data exchange may receive a query comprising a set of search terms, retrieve a plurality of data listings based on the search terms of the query, compare a first embedding generated by a large language model (LLM) from the search query to second embeddings generated by the LLM for each of the plurality of data listings to determine a respective relevance for each of the plurality of data listings to the search query, and rank the plurality of data listings based on the respective relevance for each of the plurality of data listings to the search query.