The platform requires Docker for installation and allows for indexing and searching. It supports basic operations such as document retrieval, index stats, keyword search, field-specific search, and multimodal and cross-modal search. It also allows for document deletion and index deletion. The platform is a community project aimed at making tensor search accessible to the wider developer community.
Key takeaways:
- Marqo is a vector search engine that handles vector generation, storage, and retrieval through a single API, eliminating the need for users to bring their own embeddings.
- It offers state-of-the-art embeddings, high performance, documents-in-documents-out functionality, and managed cloud services. It also integrates with popular AI and data processing frameworks.
- Marqo requires Docker for installation and offers a client for indexing and searching. It supports a variety of operations including document retrieval, index stats retrieval, keyword search, field-specific search, multimodal search, and document deletion.
- Marqo is a community project aimed at making tensor search accessible to a wider developer community. It offers comprehensive documentation, a discourse forum, and a Slack community for support.