Showing results for Query Vector Vector Recipe
GitHub Repo
https://github.com/ankhanhdau/meal-match
ankhanhdau/meal-match
A distributed, AI-powered full-stack recipe platform built with Docker, Redis, AWS & OpenAI. Features semantic vector search, NLP-to-JSON query parsing, and resilient background job processing.
GitHub Repo
https://github.com/Lakshanya-A/RAG-Based-Recipe-Recommendation-system
Lakshanya-A/RAG-Based-Recipe-Recommendation-system
Engineered a RAG-based recipe recommender to handle 1,000+ concurrent queries with latency under 1 second, personalized to user input such as ingredients, dietary restrictions, and time. • Improved recommendation accuracy by 35% using semantic search with Hugging Face embeddings. • Integrated SingleStore vector DB
GitHub Repo
https://github.com/xf4c70r/RAGChef
xf4c70r/RAGChef
An intelligent recipe assistant powered by DeepSeek AI and Pinecone vector database. This application helps users find recipes based on ingredients, cuisine preferences, or general cooking queries. Dataset used: https://www.kaggle.com/datasets/sooryaprakash12/cleaned-indian-recipes-dataset?resource=download
GitHub Repo
https://github.com/HarshPatel2035/AI-Powered-Recipe-Recommendation-Generation-System-RAG-
HarshPatel2035/AI-Powered-Recipe-Recommendation-Generation-System-RAG-
Indian Recipes RAG is an AI assistant that retrieves and generates authentic Indian recipes based on user queries. Built using Retrieval-Augmented Generation (RAG), it uses a vector search over 6000+ curated Indian recipes from Kaggle and responds with structured results including ingredients, variations, and step-by-step cooking instructions.
GitHub Repo
https://github.com/emma-ctrl/recipe-vector-search-RAG
emma-ctrl/recipe-vector-search-RAG
A vector search-powered recipe recommendation system that understands natural language queries. Ask "what's a creamy comfort food for dinner?" and get intelligent recommendations based on semantic similarity rather than keyword matching.
GitHub Repo
https://github.com/AlbertGarcia1991/vectorfood
AlbertGarcia1991/vectorfood
Project developed while learning LLM, vector embeddings, and RAGs. The goal is to deploy a website where you can search a recipe using vector similarity search between your query and the recipes database embeddings.
GitHub Repo
https://github.com/zstankow/recipe-recommendation-system
zstankow/recipe-recommendation-system
Recipe recommendation system that uses Elasticsearch for fetching relevant recipes based on ingredient queries and integrates with a Huggingface model for generating detailed cooking instructions and recommendations. The system encodes recipe data into dense vectors and supports efficient retrieval and natural language generation.
GitHub Repo
https://github.com/hanifekaptan/semantic-recipe-finder
hanifekaptan/semantic-recipe-finder
A vector-based search app that finds recipes using natural-language queries; FastAPI backend and Streamlit frontend.
GitHub Repo
https://github.com/Romit313/Culinary-Intelligence-A-Retrieval-Augmented-Generation-Chatbot-for-Context-Aware-Recipe-Discovery
Romit313/Culinary-Intelligence-A-Retrieval-Augmented-Generation-Chatbot-for-Context-Aware-Recipe-Discovery
A Retrieval-Augmented Generation (RAG) chatbot that recommends recipes based on user queries using FAISS vector search, Sentence Transformers embeddings, and a locally running LLaMA model via Ollama.
GitHub Repo
https://github.com/Aryan0610/Food-Recipe-generator-chatbot-