Exploring how function-based distributed database architectures become structural constraints in the AI era. We examine the limitations and complexity of traditional approaches combining OLTP, OLAP, FTS, and Vector DB, and introduce Cognica's unified database as a technical turning point.

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Explains how to build a natural language search service by applying vector search to a case law search demo using FTS.

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Explains the process of downloading case law data and building a case law search service in just one day using Cognica.

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