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A research paper from PwC finds that grep-style text search, when properly integrated into agent harnesses, can match or beat embedding-based retrieval for coding-agent tasks, suggesting vector databases may not be essential for many use cases.
The article discusses the emerging challenge of making products easily understandable to AI agents, distinguishing it from traditional SEO and highlighting the need for structured data and clear functional boundaries.