📄 中文摘要
Kensho，作为S&P Global的AI创新引擎，利用LangGraph创建了其Grounding框架。这一统一的智能体访问层旨在解决企业规模下金融数据检索的碎片化问题。通过整合不同的数据源和智能体，Kensho实现了高效、可靠的金融数据获取，提升了数据检索的速度和准确性。这一创新不仅优化了数据处理流程，还为金融行业提供了更为可信的决策支持。Grounding框架的实施标志着金融数据管理向智能化和自动化的重大进步。
Kensho如何利用LangGraph构建多智能体框架以解决可信的金融数据检索
📄 English Summary
How Kensho built a multi-agent framework with LangGraph to solve trusted financial data retrieval
Kensho, the AI innovation engine of S&P Global, leveraged LangGraph to create its Grounding framework, a unified agentic access layer designed to address the fragmented nature of financial data retrieval at enterprise scale. By integrating various data sources and agents, Kensho achieved efficient and reliable financial data acquisition, enhancing both the speed and accuracy of data retrieval. This innovation not only optimized data processing workflows but also provided more trustworthy decision support for the financial industry. The implementation of the Grounding framework signifies a significant advancement towards intelligent and automated financial data management.