Machine Learning Toolkit for Semantic Search
2.8k 2026-04-18
rom1504/clip-retrieval
A comprehensive toolkit for computing CLIP embeddings and building scalable multimodal semantic search systems.
Core Features
Fast computation of image and text CLIP embeddings
Efficient indexing for large-scale datasets
Python client for remote backend querying
Web UI and Flask backend for easy deployment
End-to-end pipeline for system setup
Quick Start
pip install clip-retrievalDetailed Introduction
clip-retrieval is an open-source toolkit designed to simplify the creation of powerful semantic search systems. It leverages CLIP embeddings to enable multimodal search across images and text. The project provides modular components for fast embedding inference, efficient index building, a Flask-based backend for serving, and a simple web frontend. It supports processing massive datasets, demonstrated by its use in projects like LAION-5B, making advanced semantic search accessible for researchers and developers.