Aeca Blog

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.