Case Study: Intelligent Knowledge Orchestration for a Leading Global Financial Institution

Rhino Partners designed and implemented a multi-agent Retrieval-Augmented Generation (RAG) platform to unify knowledge access across the enterprise. Built with LangGraph-based orchestration, the platform manages the entire query lifecycle — from classification and contextual retrieval to multi-round reasoning and evaluation. A modular Vector Search adapter was integrated with Databricks Unity Catalog, ensuring data lineage, auditability, and strict adherence to security compliance. To ensure domain precision, semantic embeddings were fine-tuned for financial terminology, while the synthesis layer dynamically adjusted prompting strategies based on query intent (e.g. policy lookup, compliance interpretation, or advisory summaries). Finally, automated evaluation pipelines using DeepEval Faithfulness metrics were integrated with MLflow Evaluate, verifying factual accuracy and consistency across generated responses.