How GoPerfect Built an Agentic Recruiting Workforce with Qdrant Cloud - Qdrant

What this post added

This post details GoPerfect's implementation of an agentic recruiting workforce, highlighting the use of Qdrant Cloud for advanced retrieval. Key technical contributions include: 1. Moving from purely semantic dense embeddings to a multi-vector representation in Qdrant to support more granular retrieval and disambiguate nuanced job roles. 2. Implementing hybrid search (semantic and keyword) to combine different signals for improved accuracy. 3. Orchestrating LLMs on top of Qdrant's retrieval results to form an agent loop for complex decision-making and ranking. 4. Achieving near-perfect match accuracy (99.993% in benchmarks) and sub-10-second complex search completion times through this architecture. 5. Describing the production pipeline involving data ingestion into Qdrant with structured multi-vector points, retrieval, and LLM orchestration for agentic workflows.