Cognica Blog

We discuss why NOT operations are difficult in vector search.

Explains the limitations and characteristics of vector embeddings and covers the improvements made to store them.

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

You can easily create RAG (Retrieval Augmented Generation) with just one AI database without complex infrastructure setup.