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.

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

We explain the process of data collection and processing, search, and service development for product search using Aeca. Learn how to index when structured and unstructured data are mixed, and how to transform queries for search using LLM.