An agentic AI system that orchestrates multiple specialized AI tools to perform business analytics and knowledge retrieval, allowing users to analyze data and access business information through natural language queries.
A multi-agent business intelligence server for E-commerce that leverages the QUORUM framework with nine specialized agents for data analysis, financial modeling, and strategic decision-making, supporting both HTTP and chain-of-thought reasoning modes.
An MCP-based multi-agent retrieval-augmented generation system that enables question answering over academic papers with hybrid search, knowledge graph multi-hop reasoning, and source-cited answers.
An MCP-based AI agent that retrieves and processes documents to answer queries using a RAG pipeline with LangChain and Claude models. It enables document indexing, context-aware retrieval, and multi-tool orchestration for research and knowledgebase applications.
Enables AI agents to check order statuses, retrieve FAQ policy answers via RAG, and create/manage support tickets, all based on the e-commerce support workflow in the repository.
Enables AI agents to investigate and resolve operational exceptions across orders, payments, inventory, and fulfillment through a multi-system truth and guarded actions.
