product #agent 🏛️ OfficialAnalyzed: Feb 8, 2026 13:30

OpenAI's Data Agent: Making Data Analysis Accessible to Everyone

Published:Feb 8, 2026 13:29

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1 min read

Analysis

OpenAI's internal data agent simplifies data analysis by allowing users to query data using natural language, translating these queries into SQL, and even correcting errors. This innovative approach, leveraging advanced techniques like RAG and self-correction loops, promises to revolutionize how businesses interact with their data, making it more accessible and efficient. The availability of its core components via open APIs offers exciting possibilities for other companies.

Key Takeaways

•OpenAI uses a data agent that allows users to query data in natural language.
•The agent incorporates RAG to determine which tables and knowledge to use for answering questions.
•The system can automatically correct SQL queries if the results are unexpected, such as returning zero results.

Reference / Citation

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"OpenAI's in-house data agent is not just a 'natural language -> SQL' conversion, but a system that includes RAG + self-correction loops that considers what tables to use, how to combine them, and what constraints exist, using '6 layers of context' from metadata, past queries, documents, code definitions, internal knowledge, and user modifications before generating SQL, validating execution results, and automatically correcting errors if there are any."

Qiita OpenAIFeb 8, 2026 13:29

* Cited for critical analysis under Article 32.

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