Enhancing LLMs with Vectorization in Retrieval-Augmented Generation (RAG) for Structured Data
Introduction
Large Language Models (LLMs) are powerful tools for generating human-like text, but they often suffer from hallucinations and a lack of domain-specific accuracy. Retrieval-Augmented Generation (RAG) addresses this by incorporating external knowledge retrieval to improve response accuracy and relevance. In our project, we use an LLM-based OpenAI model with
