🌶️🤖 Build AI Cooking Assistant with Memory! RAG + SQLite + Multi-Session Management [Full Stack]!
👉 Grab the Code: https://github.com/schogini/techietal...
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🔥 Discover how to create an advanced Thai cooking AI with persistent memory and session handling! This tutorial combines:
✅ Conversational Memory with SQLite 🗄️
✅ RAG Architecture (PDF Recipes + Web Search)
✅ LanceDB Hybrid Vector Search
✅ Multi-Session Cooking Workflows 👩🍳
📌 In This Demo:
00:50 - Introduction
01:20 - Overview of the Topics Covered
01:26 - Demo: Streamlit App with Session and Memory
02:52 - Code Walkthrough: Configuring the Agent with RAG, Memory and Web Tools
05:11 - Running as a Python App: Docker & Docker Compose Example
07:53 - Code Walkthrough: Streamlit Implementation
08:52 - Running with UI: Streamlit & Docker Integration
11:21 - Conclusion
💡 Key Features Shown:
Cross-session cooking progress tracking
Adaptive recipe suggestions based on history
Ingredient substitution memory
Allergy preference persistence
Cultural context preservation
Multi-user session handling
#AIAgents #NewsAutomation #WebSearchAI #NYCTech #PythonProgramming #StreamlitApps #FactCheckingAI #MultiModelAI #AIDevelopment #TechTutorials
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👨💻 Author
Sreeprakash Neelakantan
Website: https://www.schogini.com
GitHub: https://github.com/schogini/techietal...