How to handle extremely large extracted document data in an agentic LLM system?
Summary A critical challenge was identified in an agentic LLM system handling large financial documents (e.g., PDFs spanning 300–1500 pages). User queries about document content frequently failed because the agent lacked awareness of extracted JSON data stored externallyclusions. This occurred due to unsuitability of naive retrieval, context window limitations, and complex structured data ingestion overhead. … Read more