qdrant-search-quality-diagnosis

What problem does it solve?

Diagnoses Qdrant search quality issues in production by identifying causes of irrelevant or missing results and guiding corrective actions.

Core Features & Use Cases

• Baseline and ground-truth comparison: evaluate recall by contrasting exact KNN results with approximate HNSW results.
• Troubleshooting workflows: isolate issues related to quantization, payload filtering, and filtered search behavior.
• Guided parameter tuning: provide actionable steps for adjusting hnsw_ef, ef_construct, and m, with references to best practices.
• Use Case: When users report poor relevance or recall drops after deployment.

Quick Start

Run a baseline comparison of exact KNN results versus HNSW results on production queries to measure recall.