
Artificial Intelligence
RAG Without Vector DBs: How Static Pre-Loading Cuts Costs and Boosts Performance in Edge AI Systems
Discover how to implement Retrieval-Augmented Generation (RAG) systems without expensive vector databases by leveraging static pre-loading and TF-IDF for efficient semantic search. This guide explores practical methods to optimize performance, reduce latency, and significantly cut costs in edge AI applications while maintaining high accuracy and reliability.