Filtered Vector Search
How Pariti Doubled Its Fill Rate with Qdrant - Qdrant

How Pariti Doubled Its Fill Rate with Qdrant - Qdrant

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.

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