Implementing DRIFT Search with Neo4j and LlamaIndex

DRIFT search is an innovative technique that enhances information retrieval by blending the strengths of both broad and specific search methods. The process begins with a "global" search, consulting high-level community summaries within a knowledge graph to establish a general context for a query. From this broad overview, the system intelligently generates specific follow-up questions to investigate further. These targeted queries then perform a "local" search, dynamically traversing the graph to pinpoint precise details about entities and their relationships. By combining these wide and narrow findings, DRIFT produces a comprehensive and accurate answer that balances overall context with granular information.