Cognica Blog

Graph databases solve relationship-heavy problems elegantly, but adding a separate graph system alongside your relational database creates operational complexity. We explain how Cognica integrates graph queries into its unified algebra, enabling Cypher and SQL to compose in a single transaction without data duplication.

We examine the database architecture changes required by on-device AI. Just as SQLite was the answer for on-device computing, on-device AI requires a new database that integrates transactions, analytics, full-text search, and vector search. We explain why Cognica works identically on-device and on servers.

This article provides a technical analysis of why legal case search is challenging in the legal services market. We examine the structural characteristics of legal case data and the limitations of existing distributed architectures (RDB + ElasticSearch + Vector DB), and explain why integrated search based on a single database is necessary.