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Showing results for Museum Vector
GitHub Repo https://github.com/Guldana2007/dali-museum-rag

Guldana2007/dali-museum-rag

RAG-based AI assistant for The DalĂ­ Museum using OpenAI embeddings, Chroma vector DB, and a Streamlit UI. Fully reproducible educational project with a complete Retrieval-Augmented Generation pipeline.
GitHub Repo https://github.com/lirad/dl-vector-museum-of-words

lirad/dl-vector-museum-of-words

A fun way to learn more more about tokens and vectors
GitHub Repo https://github.com/Lunarisnia/vector-museum

Lunarisnia/vector-museum

No repository description available.
GitHub Repo https://github.com/florianbuetow/artwork-matcher

florianbuetow/artwork-matcher

Identifies museum artworks from visitor photographs using DINOv2 embeddings, FAISS vector search, and ORB geometric verification
GitHub Repo https://github.com/deviwlndr/analisis_sentimen

deviwlndr/analisis_sentimen

Analisis Sentimen Ulasan Pengunjung Museum Sri Baduga Bandung Berdasarkan Data Google Maps Menggunakan Algoritma Support Vector Mechine
GitHub Repo https://github.com/nosqlgeek/aimm-inventory

nosqlgeek/aimm-inventory

An inventory service for museum artifacts that supports vector similarity search
GitHub Repo https://github.com/rajeshsawant98/genai-travel-planner

rajeshsawant98/genai-travel-planner

AI-powered travel planner using Gemini embeddings to generate personalized 2-day itineraries based on user interests and nearby POIs. Features vector search, JSON output, Folium maps, and real-world data from museums, Yelp, GNIS, and transit.
GitHub Repo https://github.com/yben409/AI-Powered-Museum-Chatbot-with-Soup

yben409/AI-Powered-Museum-Chatbot-with-Soup

Langchain, Vector Embeddings and BeautifulSoup
GitHub Repo https://github.com/seyfeyza/Van-Gogh-Museum-Info-Bot

seyfeyza/Van-Gogh-Museum-Info-Bot

An AI-powered assistant designed to answer questions about the **Van Gogh Museum**. This project demonstrates a **Retrieval-Augmented Generation (RAG)** workflow using a hybrid architecture of **Python** (for vector storage/search) and **n8n** (for agentic reasoning).
GitHub Repo https://github.com/ICAST-Research-Project/Overview

ICAST-Research-Project/Overview

RAG pipeline and semantic search system for museum collections using PostgreSQL, pgvector, and LangChain. Supports natural language querying of artwork and curator data with hybrid SQL and vector retrieval, automated ingestion, and CI/CD deployment.