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A database that incorporates neuro-symbolic AI and offers a managed service (AllegroGraph Cloud) for neuro-symbolic AI knowledge graphs, indicating its relevance to advanced AI applications, likely including vector capabilities.
Neo4j is a graph database that has added vector search capabilities, providing unique and effective approaches for retrieval augmented generation (RAG) and other AI applications.
A category of vector database solutions and algorithms leveraging graph-based approaches for efficient similarity search and vector indexing, which are core to many vector database implementations in AI applications.
AstraDB (also known as Astra DB by DataStax) is a cloud-native vector database built on Apache Cassandra, supporting real-time AI applications with scalable vector search. It is designed for large-scale deployments and features a user-friendly Data API, robust vector capabilities, and automation for AI-powered 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.
Google Cloud Platform offers vector search as part of its Vertex AI suite, enabling scalable and integrated vector search capabilities for AI-driven applications.
AllegroGraph is a high-performance, persistent graph database designed for scalability. It utilizes efficient memory and disk-based storage to handle billions of quads while maintaining performance.
RDF:type, RDFS:subClassOf, range, domain, subProperty.OWL:sameAs, inverseOf, TransitiveProperty, hasValue, someValuesFrom, allValuesFrom, one of, equivalentClass, restriction, onProperty, intersectionOf.AllegroGraph is optimized for both loading and query speeds. Historical benchmarks include:
Recent benchmark results demonstrate high loading rates:
Pricing information is not available in the provided content.