Standardizing Relay for AI-Routed Inter-Application Messaging
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Solution Overview
Problem
Cloud computing systems face challenges in generating dynamic requests for inter-application communications without creating bottlenecks, particularly as systems become more complex and data interpretation increases, necessitating a real-time, intelligent, and coordinated messaging system.
Innovation Solution
A standardizing relay using a vector database and generative artificial intelligence model processes communications to determine dynamic recipients based on key values, applying relay rules and generating dynamic requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a standardizing relay processes communications through AI models and vector databases to generate dynamic requests, then communication adaptability and intelligence are improved, but system complexity and processing time increase
Solution Approach 1:
The patent introduces a standardizing relay as an intermediary component that sits between communicators and AI models. This relay standardizes communication protocols, formats messages uniformly, and handles the complexity of interfacing with AI models, thereby improving adaptability while managing system complexity through a dedicated intermediary layer
Solution Approach 2:
The system segments the communication processing into distinct modules: the standardizing relay handles protocol standardization, the vector database manages knowledge retrieval, and AI models perform dynamic request generation. This segmentation allows each component to be optimized independently, reducing overall system complexity while maintaining high adaptability
2Extent of automation
If the standardizing relay processes more communications through AI models in real-time, then communication intelligence and coordination are improved, but processing speed and system throughput deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-processing communications through the standardizing relay and pre-retrieving relevant information from vector databases before AI model inference. This preparation reduces the computational burden during real-time processing, enabling intelligent communication while maintaining processing speed
Solution Approach 2:
The patent replaces traditional mechanical routing mechanisms with AI-driven dynamic request generation. Instead of rigid protocol-based routing, the system uses AI models to intelligently determine communication paths, improving automation and intelligence while handling complexity through sophisticated algorithms rather than mechanical processes
3Adaptability or versatility
If the system uses vector databases and AI models for dynamic request generation, then communication scalability and adaptability are improved, but data processing requirements and computational resources increase
Solution Approach 1:
The system creates standardized copies of communication protocols and data formats that can be reused across multiple interactions. The standardizing relay maintains template copies of processed communications, allowing the system to scale by reusing these standardized patterns rather than processing each communication uniquely, thereby reducing computational resource requirements
Data Source
AI summary
Systems and methods for a dynamic communication coordination system based on intelligent and personalized communications. For example, as opposed to a conventional routing system, where the router receives a communication and determines an intended recipient as defined by the communication, the system described herein receives a communication and processes the data in that communication using a standardizing relay. The standardizing relay may then determine where to send the communication.