NLP Question Answering: Answer questions with a local LLM and a vector database on your own embedded data

Christian Bernecker
7 min readMar 11, 2024

A Deep Dive into Building an Advanced Q&A System on documents using a simple Retrieval Augmented Generation (RAG) Architecture. I’ll break down RAGs for you, diving into their architectural nitty-gritty. Plus, my articles will as always have some code snippets to get you up and running.

Question Answering with RAG (DALLE 3)

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Christian Bernecker

IT Architect | Data Scientist | Software Developer | Data Driven Investor