The Vector Store is the high-performance infrastructure layer that houses your organization's embedded knowledge. It provides the speed and scale necessary for real-time semantic search across millions of documents, thousands of processes, and years of accumulated knowledge. When a virtual employee needs context or a team member asks a question, the vector store delivers relevant results in milliseconds.
Designed for enterprise volumes — millions of embeddings served with consistent latency. As your knowledge base grows, retrieval performance remains constant.
Combine semantic similarity with metadata filters. Search for documents that are semantically relevant AND from a specific department AND created in the last quarter.
Separate indices for different knowledge types — documents, processes, decisions, communications — with cross-index search capabilities when needed.
Index structures are continuously optimized based on access patterns. Frequently queried knowledge moves to faster access tiers automatically.
Vector Store works in concert with other layers in the intelligence stack — each connection amplifying the capability of both components.
Provide the infrastructure foundation for intelligent knowledge retrieval at enterprise scale. Ensure that AI agents and human users can access relevant organizational knowledge instantly — regardless of how large the knowledge base grows.
Discover how Vector Store fits into your enterprise intelligence strategy.
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