VAST CNode-X

GPU-accelerated platform from VAST Data that includes a native vector database, designed for enterprise AI workloads including multi-agent systems, video-reasoning, and high-volume RAG. It combines vector embeddings with structured data and metadata in unified tables, enabling hybrid queries across modalities without orchestration layers or external indexes.

Fully managed cloud-native vector database with a serverless offering, providing built-in hybrid search, metadata filtering, and enterprise-grade reliability. Designed as the primary choice for production AI applications at scale.

State-of-the-art foundational model for ranking with 4096 context length and multilingual support for 100+ languages. Offers exceptional performance on BEIR benchmarks and specialized domains including finance, e-commerce, and enterprise search.

Industry-first managed vector database deployable in any environment - cloud, on-premise, or edge. Kubernetes-native with complete data sovereignty while maintaining managed service convenience.

Mature, modular open-source Python framework for building production-grade RAG pipelines, AI agents, and semantic search systems, trusted by The European Commission and The Economist.

Built into the Salesforce platform, Data Cloud Vector Database ingests various large datasets from customer interactions, classifies and organizes unstructured data, and merges it with structured data to enrich customer profiles and store as metadata in Data Cloud. It enhances generative AI by providing more relevant, accurate, and up-to-date responses through improved data retrieval and semantic search capabilities.