Edvaldo Melo

Sharing my knowledge and insights on AI and Data Science.

Category: RAG

  • RAG: Hybrid Search

    Traditional RAG, which I covered in my previous post, uses dense vector search to retrieve documents that are semantically similar to the user’s query. This approach is especially useful for open-ended or natural language questions, where users describe their intent without necessarily knowing or using the exact terms found in the documents. However, relying solely…

  • RAG: Getting Started

    Although an LLM is trained on a vast amount of data and is capable of generating high-quality text, it has inherent limitations, such as being restricted to the knowledge available up to its training cutoff and lacking access to domain-specific or private knowledge bases. Retrieval-Augmented Generation (RAG) is widely used to overcome these limitations by…