Marqo

Marqo stands at the forefront of AI technology, offering a comprehensive platform for the training and deployment of embedding models. This innovative tool is designed to rapidly prototype, iterate, and seamlessly deploy over 150 embedding models, thereby transforming the retrieval stack and building powerful search applications. With Marqo, users can fine-tune embedding models on domain-specific data, ensuring superior performance over traditional retrieval methods like BM25. The platform also addresses the challenges of model serving by providing scalable and efficient pipelines for embedding generation, essential for both ingestion and search processes. Furthermore, Marqo enhances embedding retrieval through advanced techniques such as reranking, hybrid search, and filtering, ensuring comprehensive and consistent evaluation of retrieval performance to boost iteration speed and improve production results. The Marqo Stack encompasses training, embedding, retrieval, and evaluation, offering an end-to-end solution for embedding model management. It supports hundreds of embedding models out of the box, including custom weights, and provides horizontally scalable vector and lexical retrieval with metadata handling. Marqo's evaluation system grades search systems on precision, ranking, consistency, and average relevance, utilizing multimodal LLMs to analyze the relevance of each returned result. This platform is not just about search; it's about revolutionizing how we interact with data, offering applications in advanced semantic search, RAG & Generative AI, recommendations & personalization, and content moderation. Trusted by industry leaders, Marqo is instrumental in making AI useful to businesses by enabling developers to leverage the best technology with minimal effort. Its end-to-end coverage, multimodal capabilities, multilingual search support, and scalability make Marqo a preferred choice for developers and businesses aiming to enhance their search and information retrieval experiences.