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Links stored vector embeddings to generative AI models and autonomous agents for context-aware responses.
Distinct from Vector and AI Data Pipelines: Distinct from Vector and AI Data Pipelines: focuses on the runtime linking of vectors to AI models rather than the ingestion pipeline.
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RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind
Links stored vector embeddings to generative AI models and autonomous agents to provide relevant document context.