Contemporary databases offer the reliability and consistency of traditional relational databases with the convenience and flexibility of document and graph databases. We draw on structured and unstructured data from many sources. We index and store large quantities of text. We show one-to-one, one-to-many, and many-to-many relationships, as seen in graphs.

Graphs for competitive intelligence are more than abstract concepts. They provide a data model or schema to be implemented in the knowledge base itself. The knowledge base is a knowledge graph.

As described in ChatGPT is all the rage, large language models produce embeddings that can be used to provide more efficient and more thorough searching across a knowledge base. Embeddings are key to vector databases. Competitive intelligence as a service employs a flexible database structure, allowing for vector components.

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