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joules to wats business solutions
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advanced-mcp-lab
advanced-mcp-lab PublicAdvanced MCP implementation with remote HTTP transport, filesystem roots security, server-initiated LLM sampling & OpenAI GPT-4o-mini integration — production-ready agentic AI architecture
Python 1
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AI-NourishBot
AI-NourishBot PublicMultimodal multi-agent food intelligence system — CrewAI + IBM Watsonx Llama 3.2 90B Vision detects ingredients, filters by dietary restrictions, analyzes nutrition & suggests recipes via Gradio UI
Python 1
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BeeAI-Agent-Systems
BeeAI-Agent-Systems PublicProgressive BeeAI agent systems — 12 tasks from basic LLM to multi-agent travel planner using IBM Watsonx, Llama-4 Maverick, Granite, RequirementAgent, custom tools & human-in-the-loop
Python 1
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California-Culinary-MCP-Server
California-Culinary-MCP-Server PublicProduction MCP server for California restaurant intelligence — FastMCP + 3 tools + Claude Sonnet 4 sampling + Llama 3.3 70B ReAct agent loop + Gradio UI (Connoisseur Companion)
Python
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docchat
docchat PublicMulti-agent RAG document Q&A — LangGraph + IBM Watsonx (Llama 3.3 70B + Granite 3.3) + Hybrid BM25/ChromaDB retrieval + Docling parser + Gradio UI with factual verification loop
Python
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multimodal-rag-multi-agent-recommendation
multimodal-rag-multi-agent-recommendation PublicIBM AI0351EN — 7 labs building a multimodal RAG + 6-agent recommendation system: LLM data extraction, ChromaDB text+image indexes, cosine fusion ranking, LangGraph workflow & Gradio chatbot
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