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

1. 1Leverage LangGraph to create a unified access layer
2. 2Implement a multi-agent framework for data retrieval
3. 3Integrate the framework with existing enterprise systems
4. 4Monitor and refine the framework for optimal performance

Data scientists and software engineers at enterprises like S&P Global can benefit from this framework to streamline financial data retrieval and integration

💡 A unified agentic access layer can streamline fragmented financial data retrieval

📈 Kensho's Grounding framework solves financial data retrieval at scale with LangGraph