Knowledge Graph
A structured representation of real-world entities and the relationships between them, enabling machines to reason about interconnected data.
BASALTECHO constructs enterprise knowledge graphs that map every entity in your organization—employees, clients, products, contracts, invoices—and the relationships between them. Unlike flat databases, a knowledge graph allows agents to traverse connections: "Show me all clients who purchased Product X, whose contracts expire within 90 days, and who have open support tickets." This multi-hop reasoning is impossible with traditional SQL queries but trivial for a graph-native architecture. The knowledge graph becomes the shared memory of the entire agentic swarm.
Related Concepts
See also:
Retrieval-Augmented Generation
A technique that grounds LLM responses in factual, enterprise-specific data by retrieving relevant documents before generating an answer.
See also:
Vector Database
A specialized database optimized for storing and querying high-dimensional mathematical representations of unstructured data like text, images, and audio.
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Semantic Search
A search methodology that understands the intent and contextual meaning behind a query, rather than matching literal keywords.