Semantic Search System Toolkit
2.8k 2026-05-01
rom1504/clip-retrieval
A comprehensive toolkit for computing CLIP embeddings and building scalable semantic search and retrieval systems for multimodal data.
Core Features
Efficient computation of CLIP image and text embeddings.
Tools for building and hosting high-performance embedding indices.
Python client for remote querying of retrieval backends.
Simple web UI for interactive semantic search.
End-to-end pipeline for rapid deployment of retrieval systems.
Quick Start
pip install clip-retrievalDetailed Introduction
clip-retrieval is an open-source toolkit designed to simplify the creation of large-scale semantic search systems. It provides modular components for computing CLIP embeddings from images and text, building efficient indices for these embeddings, and serving them via a Flask backend with an optional web UI. The project enables users to quickly set up multimodal retrieval systems, capable of processing hundreds of millions of samples, making advanced semantic search capabilities accessible for various applications, from data preprocessing to content discovery.