WhyHow.AI has built and open-sourced a platform using MongoDB to enhance data management and insights through knowledge graphs. Knowledge graphs address the limitations of traditional retrieval-augmented generation (RAG) systems by structuring data into meaningful entities, relationships, and contexts, enabling accurate and deterministic retrieval processes. The WhyHow.AI platform combines large language model (LLM) workflows with Python- and JSON-native graph management, using MongoDB's robust capabilities to combine structured and unstructured data and search capabilities, enabling efficient querying and insights across diverse datasets. By providing a scalable foundation with features like vector search and aggregation, the solution enhances organizations' ability to leverage knowledge graphs for data management and insights, unlocking their data's potential and driving innovative knowledge management solutions.