RAG (Retrieval-Augmented Generation) combines an external retriever and a generative model to ground LLM outputs by marginalizing over retrieved documents, P(y|x)=∑_{i=1}^{K} P_ret(z_i|x) P_gen(y|x,z_…
Author: Keith Curtis
I’m Keith Curtis, author of AI Build Desk, where I help business owners turn practical AI ideas into working chatbots, agents, and applications. I cover customer support, lead qualification, internal knowledge access, workflow automation, GPT and Claude integrations, project costs, developer hiring, and tool comparisons. My goal is to make AI development easier to understand and help companies without in-house AI teams plan confidently. I publish practical guidance for first-time builders. AI Build Desk is operated by ebbuapp.com and earns through the Fiverr affiliate program. I’m not affiliated with, endorsed by, or sponsored by OpenAI, Anthropic, or Fiverr International Ltd.
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