Architecture
Key Components and Their Interactions
Workflow Engine: This component orchestrates task execution, ensuring that data flows through the system in the correct sequence and that dependencies between tasks are respected.
AI Agent: The AI agent serves as the decision-making core. It processes input data, executes logical responses, and interfaces directly with users to facilitate interactive tasks.
RAG Pipeline: To enhance the knowledge base, the RAG pipeline retrieves information from both internal and external sources, utilizing advanced search mechanisms to enrich the data context.
Decentralize Data Storage and Retrieval: This module ensures efficient storage solutions that can scale. It employs relational databases for structured data, while also supporting blockchain decentralized storage options with IPFS for robust data retention.
LLM Integration: By incorporating Large Language Models, the system leverages advanced capabilities in understanding complex queries and generating coherent responses, thus improving user interactions and predictive analytics.
These components work in unison to deliver a cohesive and powerful digital ecosystem. Through seamless integration, they enhance data processing, ensure accurate information flow, and provide intelligent decision-making support.
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