Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Not rated
AWS Marketplace
MariaDB Vector natively stores and queries high dimensional embeddings within an enterprise relational engine, removing the need for a separate database stack. We built a 100% private, self-contained hybrid RAG pipeline that runs semantic searches and data calculations with zero external API dependencies or token costs.
Cybersecurity & ITVirtual machine
Not rated
AWS Marketplace
Get a jump-start on your AI development with a production-ready MariaDB Vector Database deployment. This package features native high dimensional vector search seamlessly integrated directly into the core, high-performance MariaDB engine, eliminating the need for a separate vector database stack
Software DevelopmentVirtual machine
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AWS Marketplace
This product has charges associated with it for the build, maintenance, and support of the Amazon Machine Image (AMI). Milvus is an open-source vector database designed to handle high-dimensional vector data, enabling efficient similarity search and storage at a massive scale. It's particularly optimized for generative AI (GenAI) applications, powering tasks such as semantic search, recommendation systems, and Retrieval-Augmented Generation (RAG). Built to scale seamlessly from prototypes to production, Milvus supports billions of vectors with minimal performance degradation, making it a go-to tool for AI engineers and data scientists working with unstructured data.
Software DevelopmentVirtual machine
Not rated
AWS Marketplace
This product has charges associated with it for the build, maintenance, and support of the Amazon Machine Image (AMI).pgvector is an open-source PostgreSQL extension that enables native vector similarity search, allowing you to store and query AI-generated embeddings directly within your existing PostgreSQL database. It supports distance metrics like cosine similarity and Euclidean distance.
Finance & AccountingVirtual machine
