Jan 16
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Watch me Build an End to End Multi-Agent AI System for €5.1B Flower Supply Chain: 43M flowers/day with Gemini 3 Pro Vision, DeepSeek V3.2, Pydantic AI, LangGraph, ChromaDB RAG, Gradio Dashboard. Complete Python code for Royal FloraHolland auction automation—vision agent, synthetic data generation, species identification, dynamic pricing. Production-ready AI agents tutorial. I am giving you Design, Architecture, Python Code wraped together in a Gradio GUI AI App Perfect for developers, AI engineers, MLOps engineers, and AI practitioners building real-world agentic systems that scale beyond toy demos. ✅ Get your Free Training + Guide: https://www.maryammiradi.com/free-ai-agents-training 🧭 Join 5--in-1AI Agents Training (56% OFF): https://www.maryammiradi.com/ai-agents-mastery 🔧 TECH STACK: - Gemini 3 Pro Vision for visual flower analysis - DeepSeek V3.2 for powerful reasoning and species identification - Pydantic AI for structured synthetic data generation - LangGraph for multi-agent orchestration - ChromaDB for vector database and RAG pipeline - Gradio for interactive dashboard UI - Complete Python implementation 💡 KEY CHALLENGES SOLVED: ✓ Vision model hallucination (preventing $2M daily losses) ✓ No existing flower database? Generate synthetic data for 30 cents ✓ Real-time species identification with confidence scoring ✓ Dynamic pricing based on quality, origin, freshness ✓ Scalable architecture handling 43M+ items daily 📚 WHAT YOU'LL LEARN: - Building production-grade vision agents with Gemini 3 Pro Vision - Synthetic data generation using Pydantic AI (botanical database from scratch) - Simplified RAG implementation with ChromaDB - Multi-agent orchestration patterns with LangGraph - Combining vision models with reasoning models (DeepSeek V3.2) - Gradio dashboard design for AI agent interfaces - Cost-effective solutions for massive scale problems 00:00 - €5B Flower Supply Chain Problem 00:54 - 43M Flowers Daily Auction Challenge 01:22 - Vision Model Hallucination: $2M Loss 01:51 - Identification + Auctioning Architecture 02:18 - Multi-Agent System Design 02:56 - Pydantic AI Synthetic Data Generation 04:21 - Pydantic AI Structured JSON Output 04:44 - FREE AI Agents Training Module 05:05 - GPT-5 Botanical Database Build 05:45 - Load Data from Hugging Face 06:03 - Structured Data Validation 06:33 - Build Search Engine with RAG 07:50 - Anti Hallucination Method 08:43 - Deepseek Reasoning v3.2 09:35 - LangGraph Multi-Agent Orchestration 11:02 - Vision Agent with Gemini 3 pro vision 11:48 - Auctioning Agent - Dynamic Pricing Engine 13:42 - Gradio Dashboard Demo: Vision Analysis 15:18 - Real-Time Flower Image Processing 15:38 - Results: Petals, Colors, Growth Analysis 16:42 - Build 9 AI Agent Systems in 9 Industries #aiagents #aiengineer #langgraph #deepseek #ai #langgraph #chromdb #rag #supplychain #multiagentsystems #multiagent #visionai #python #aiengineering #vectordatabases #syntheticdata #realworldai #gradio #gpt5 #pydantic #aiengineering #aiengineer #aiagents #gemini3pro #deepseek #aiagents #aiengineer #langgraph #gemini3 #geminiai #llm #rag #agenticai #aiengineering #gpt5 #multiagentsystems #aiarchitecture #aiprojects #aiusecases #langchain #crewai #chromadb #vectordatabases #pydantic #airoadmap #aiagents #python