S&P Global - Adaptive Retrieval

Flexible data access for complex workflows

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Adaptive Retrieval is designed for open-ended, complex workflows where the data path isn't predefined. Submit a natural language query and the system dynamically routes across S&P Global data sources, from Market Intelligence to Energy data, generating queries and assembling cited results automatically. Built by Kensho, S&P Global's AI innovation engine, the solution is ideal for deep research, multi-step analysis, and autonomous agent workflows. Can be used alongside S&P Global - Deterministic Retrieval for teams that need both structured and flexible data access.

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