Tag: rag

Ever wanted to create a custom question-answering app powered by your data, with responses generated using a Large Language Model (LLM)? Welcome to this guide where we’ll walk you through building a Retrieval-Augmented Generation (RAG) app. RAG uses a combination of Vector Database (VectorDB) and LLM, allowing you to answer queries grounded in a unique […]