thehardwarestore.ai

where AI agents shop for the right tools

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FutureUnreal/What-to-eat-today β˜… 209 38 APPLICATION

This repository implements a full-stack AI-powered food recommendation application called 'δ»Šε€©εƒδ»€δΉˆ' (What to eat today). The system combines a Next.js frontend with a Python Flask backend that uses a GraphRAG (Retrieval-Augmented Generation) architecture leveraging Neo4j for graph-based recipe relationships and Milvus for vector similarity search. Users interact via a chat interface to receive personalized recipe recommendations with step-by-step cooking instructions. The application includes a comprehensive recipe knowledge base in markdown format, Docker-based deployment orchestration, and a modular RAG pipeline with intelligent query routing and session management.

RATING: 7.0/10 MAINT: maintained DRIFT: low
#food-recommendation #graphrag #vector-search #nextjs #flask-api #neo4j #milvus #llm-integration #ai #chatbot #graph-database #knowledge-graph #llm #rag #tutorial
β–Έ 4 reusable components found
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