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Benjamin Wallace
Benjamin Wallace

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Chatbot vs AI Agent vs Private RAG: A Developer's Decision Guide

#ai

Three patterns, three problems. Picking wrong means rebuilding later.

Chatbot: scripted or rules-based flows. Predictable, cheap, brittle off-script.

AI agent: calls tools, chains steps, takes actions. Powerful, but power without grounding gets unpredictable.

Private RAG: retrieves from your knowledge base, then generates a grounded, cited answer.

Quick decision heuristic:

Need actions across systems?          -> agent
Need scripted deterministic flows?    -> chatbot
Need accurate answers from YOUR docs? -> private RAG
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For most enterprise use cases the actual requirement is trustworthy answers from internal content, which is private RAG. It minimizes hallucination and gives you an audit trail for free.

CustomGPT.ai focuses on this private RAG layer, grounding every response in your documents.

Match the architecture to the problem, not the hype cycle.

Full comparison: https://customgpt.ai/chatbot-vs-ai-agent-vs-private-rag/

Tags: ai, rag, architecture, llm

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