Developer Shares Key Lessons Building AI Customer Support SaaS with Django and RAG

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A developer has detailed the architecture behind AI-Autofy, a customer support SaaS platform that allows businesses to train an AI assistant on their own documents, FAQs, and website data. The system is built with Python and Django, with the AI inference layer separated from the main web application to allow independent scaling and easier model swaps. Retrieval-Augmented Generation (RAG) is used so the assistant answers questions using business-specific information rather than relying solely on the language model's general knowledge. Strict tenant isolation ensures that documents belonging to one business are never surfaced in responses generated for another. The developer also highlights the importance of distinguishing between static knowledge data and live data, and using relevance gating to avoid injecting irrelevant context into every prompt.

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