How Data Graphs Built a True Hybrid Graph RAG Platform - Qdrant

This post details Data Graphs' implementation of a 'True Hybrid Graph RAG Platform' using Qdrant. Key technical contributions include: 1. Real-time embedding from a graph database into Qdrant collections with rich metadata for filtering. 2. An agentic AI layer that leverages Qdrant's payload filtering and graph queries to dynamically select the best retrieval path based on schema analysis and prompt requirements. 3. Blended retrieval from Qdrant (for semantic similarity) and the graph database (for empirical, structured data) with verifiable provenance. Qdrant's Hybrid Cloud deployment and payload filtering capabilities were critical for integrating with existing infrastructure and data models.