
5/1/2025 · Daniel Azoulai
What this post added
This post details how Pariti integrated Qdrant into their talent marketplace to improve candidate matching. They used Qdrant Cloud for zero-ops deployment and an intuitive Python SDK. The integration involved encoding job requirements, embedding candidate experiences, and comparing vectors. This resulted in millisecond-level search results, reducing candidate vetting time from 4 minutes to 1 minute and increasing the fill rate from 20% to 48%. Pariti is considering Qdrant's GPU-assisted indexing and vector quantization for future scaling.