May 28, 2025

RAG (Retrieval-Augmented Generation) with CSV files transforms your spreadsheet data into an intelligent question-answering system that can understand and respond to natural language queries about your data. Instead of manually searching through rows and columns, you can ask questions like “What were our top-performing products last quarter?” and get instant, contextual answers powered by AI. […]

Hypothetical Document Embeddings (HyDE) is an advanced technique in information retrieval (IR) for RAG systems designed to improve search accuracy when little or relevant documents exist in the dataset yet. It leverages large language models (LLMs) to generate “hypothetical” documents that might answer a query, then uses their embeddings for similarity search. Have you ever