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A tensor-based search and analytics engine that seamlessly integrates with your applications, websites, and workflows. Marqo is a versatile and robust search and analytics engine that can be integrated into any website or application. Due to horizontal scalability, Marqo provides lightning-fast query times, even with millions of documents. Marqo helps you configure deep-learning models like CLIP to pull semantic meaning from images. It can seamlessly handle image-to-image, image-to-text and text-to-image search and analytics. Marqo adapts and stores your data in a fully schemaless manner. It combines tensor search with a query DSL that provides efficient pre-filtering. Tensor search allows you to go beyond keyword matching and search based on the meaning of text, images and other unstructured data. Be a part of the tribe and help us revolutionize the future of search. Whether you are a contributor, a user, or simply have questions about Marqo, we got your back.
Features
- Embeddings stored in in-memory HNSW indexes, achieving cutting edge search speeds
- Scale to hundred-million document indexes with horizontal index sharding
- Async and non-blocking data upload and search
- Use the latest machine learning models from PyTorch, Huggingface, OpenAI and more
- Start with a pre-configured model or bring your own
- Built in ONNX support and conversion for faster inference and higher throughput
- CPU and GPU support
Project Samples
