2026-03-20

RAG explained simply

Understand Retrieval-Augmented Generation in plain language and why it improves chatbot reliability.

RAG stands for Retrieval-Augmented Generation. It combines two ideas:

  1. Retrieve relevant knowledge from your data.
  2. Generate a response using that retrieved context.

Why it matters

Without retrieval, a model answers from general training and can miss details specific to your business. With RAG, answers are grounded in your docs.

What AsroChat does

AsroChat chunks and indexes your content, finds relevant chunks for each question, and injects those chunks into the model prompt.

Result

You get answers that are more accurate, more consistent, and easier to trust.