image-search

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

Deep Learning Server and CLI for Torch and TensorRT

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in cloud https://endee.io/

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

A @ClickHouse fork that supports high-performance vector search and full-text search.

CLIP inference in plain C/C++ with no extra dependencies

Vision AI Solution Accelerator

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.

An AI-powered natural language & reverse Image Search Engine powered by CLIP & qdrant.

A JavaScript library that brings vector search and RAG to your browser!

Real-time on-device text-to-image and image-to-image Semantic Search with video stream camera capture using USearch & UForm AI Swift SDKs for Apple devices 🍏

Official Weaviate TypeScript Client

World's fastest and most compact embedded vector database: exact by default, multimodal, local-first, and GPU-accelerated

State-of-the-art embedding models fine-tuned for the ecommerce domain. +67% increase in evaluation metrics vs ViT-B-16-SigLIP.