RAG vs. Static Chatbots: When to Upgrade
Why retrieval-augmented generation changes the game for customer-facing AI and how to know when your use case needs it.
RAG (Retrieval-Augmented Generation) lets your AI use your own data—documents, APIs, knowledge bases—instead of relying only on what the model was trained on. Static chatbots can't do that. **When to consider RAG:** - You need answers grounded in your docs or product. - You have changing content (policies, FAQs, internal docs). - You want to reduce hallucinations and keep answers on-brand. **When a static chatbot is enough:** - Simple, fixed Q&A or routing. - No need to cite internal data. We help teams decide and then build the right pipeline: chunking, embeddings, retrieval, and prompt design.