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Memory Tiers in Qdrant: What to Use and When A growing vector collection eventually outgrows the RAM it started with: Qdrant handles that by letting you assign dense vectors, the HNSW graph, quantized vectors, payloads, and payload indexes each to whichever memory tier that structure supports,…
When Your Collection Outgrows RAM Once a collection no longer fits in RAM, the kernel evicts vector pages, and the next query waits on a disk read to get them back. Quantization buys that memory back.
Candidate Depth: How Much Retrieval Is Enough? Before you tune candidate depth, use the pre-tuning checks to verify index state and set a labeled baseline. Everything below measures against that baseline. Candidate depth is the number of candidates a retrieval stage passes to a later ranking stage.
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