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How OpenAI built an AI agent to query 600 petabytes of internal data

How OpenAI built an AI agent to query 600 petabytes of internal data

6 min read AI Agents

OpenAI built Kepler, an internal AI data analyst to query over 600 petabytes of data. To bypass context limits, they use Model Context Protocol (MCP), automated code crawling, and RAG, combined with scoped semantic memory and AST-based LLM grading for robust evaluation....

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