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Marqo is an open-source neural search engine that leverages vector representations to enable semantic search over textual data. It abstracts vector database complexity and provides a high-level interface for building advanced search applications.
Deep Lake is a vector database designed as a data lake for AI, capable of storing and managing vector embeddings, text, images, and videos. It utilizes a tensor format for efficient querying and integration with AI algorithms, making it suitable for similarity search and machine learning workflows. It is open-source and tailored for handling unstructured and multimodal data, with seamless integration with frameworks like PyTorch and TensorFlow.
NucliaDB is a commercial vector database that enables semantic and vector search across unstructured data, supporting advanced AI and ML-powered applications.
Vearch is a distributed vector search engine designed for AI-native applications, enabling scalable and efficient similarity search across large datasets.
A library by Google Research for efficient vector similarity search, suitable for large-scale nearest neighbor applications in AI.
txtai is an open-source AI framework that provides semantic search and vector database capabilities for language model workflows.
Marqo is an open-source neural search engine that leverages vector representations to enable semantic search over textual data. It provides a high-level interface for building advanced search applications and abstracts away the complexity of vector databases.