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Building a High-Performance Entity Matching Solution with Qdrant - Rishabh Bhardwaj | Vector Space Talks

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“When we were building proof of concept for this solution, we initially started with Postgres. But after some experimentation, we realized that it basically does not perform very well in terms of recall and speed… then we came to know that Qdrant performs a lot better as compared to other solutions that existed at the moment.” – Rishabh Bhardwaj How does the HNSW (Hierarchical Navigable Small World) algorithm benefit the solution built by Rishabh?