Building Smart Chatbots with RAG and LLMs

Retrieval-Augmented Generation (RAG) combines large language models (LLMs) with live data retrieval for context-aware chatbots.

How It Works

When a user asks a question, the bot fetches relevant information from a knowledge base and uses an LLM to craft a natural, precise response.

Use Cases

• Customer Support Systems
• Internal Knowledge Assistants
• Educational Tutors

RAG-based bots bring accuracy and intelligence together — a step toward truly “thinking” AI assistants.