How Kensho built a multi-agent framework with LangGraph to solve trusted financial data retrieval

Kensho, S&P Global's AI innovation engine, developed a multi-agent framework called Grounding using LangGraph, which provides a unified access layer for retrieving trusted financial data at an enterprise scale. This framework addresses the issue of fragmented financial data retrieval by enabling agentic workflows that can efficiently navigate and access diverse data sources.

⚡ Key Takeaways

• Kensho's Grounding framework utilizes LangGraph to create a unified agentic access layer for financial data retrieval.
• The framework solves the problem of fragmented financial data retrieval at an enterprise scale.
• LangGraph enables the creation of a multi-agent framework that can efficiently navigate and access diverse data sources.

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