Query Vector Vector Recipe Vector Vector Vector

GitHub Repo https://github.com/Aryan0610/Food-Recipe-generator-chatbot-

Aryan0610/Food-Recipe-generator-chatbot-

A Streamlit-based chatbot that helps users find recipes by querying a FAISS vector database and providing AI-generated responses using the Gemini API. Users can search for recipes based on keywords, and the bot provides detailed recipe information, including ingredients, steps, reviews, ratings, and more

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/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/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/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/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/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/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.