Enhancing Generative AI with Retrieval-Augmented Generation Using PostgreSQL and pgvector
Generative AI models have transformed technology by enabling applications like chatbots and content generation. However, they often face limitations such as knowledge cutoffs—where models lack awareness of recent events—and hallucinations, where models confidently provide incorrect information. These issues can hinder the effectiveness of AI in real-world applications. Retrieval-Augmented Generation (RAG) offers a solution by enhancing […]