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RAG

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RAG Pipeline Design for Non-Hallucinating AI: What We Learned Shipping to Production
AI8 min read

RAG Pipeline Design for Non-Hallucinating AI: What We Learned Shipping to Production

Most RAG implementations that work in demos fail in production. Here is the architecture — chunking strategy, embedding model choice, hybrid retrieval, confidence thresholding — behind a pipeline that achieves >80% retrieval accuracy at scale

Gaurang Ghinaiya

Gaurang Ghinaiya

June 6, 2026

Why AI Chatbots Hallucinate
AI6 min read

Why AI Chatbots Hallucinate

Hallucination is an inherent property of how language models work, not a bug that will be patched. Here is how to architect AI systems that cannot hallucinate about the things that matter.

Gaurang Ghinaiya

Gaurang Ghinaiya

June 3, 2026

RAG vs Fine-Tuning: Which One Does Your Business Actually Need?
AI5 min read

RAG vs Fine-Tuning: Which One Does Your Business Actually Need?

Every business exploring AI hits the same fork: fine-tune a model, or build a RAG system? The distinction matters enormously for budget and accuracy. Here is how to choose

Gaurang Ghinaiya

Gaurang Ghinaiya

May 28, 2026

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