Steve Han

Steve is a senior software engineer and researcher specializing in retrieval-augmented generation (RAG) and agent systems. His work centers on designing rigorous text- and multimodal evaluation pipelines and developing synthetic data generation methods. With a master’s degree in Electrical Engineering from Stanford University, he brings a strong systems background to AI evaluation and optimization.
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Posts by Steve Han

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Generative AI

Finding the Best Chunking Strategy for Accurate AI Responses

A chunking strategy is the method of breaking down large documents into smaller, manageable pieces for AI retrieval. Poor chunking leads to irrelevant results,... 14 MIN READ