Hybrid Search in Qdrant
Decide whether to add hybrid search in Qdrant: the queries dense and sparse retrieval each get wrong, and how to measure the gain.
Dylan Couzon
August 24, 2026
Search Quality
Learn how to evaluate and improve the quality of your vector search. Explore relevance feedback, evaluation methodologies, and benchmarking techniques.
When Your Collection Outgrows RAM
Set quantization and memory placement in Qdrant once a collection outgrows RAM: what the rescoring disk read costs and what quality it recovers.
Dylan Couzon
August 24, 2026
When Is a Reranker Worth It?
Test whether a cross-encoder reranker beats your tuned first stage in Qdrant, then choose the model and candidate count from measured results.
Dylan Couzon
August 23, 2026
How to Tune Hybrid Search in Qdrant
Tune hybrid search fusion in Qdrant: choose between RRF and DBSF, set the constant k from your relevance labels, and get weights right.
Dylan Couzon
August 22, 2026
Candidate Depth: How Much Retrieval Is Enough?
Set candidate depth and hnsw_ef in Qdrant, measure the gap between your ranking and a perfect one, and balance the trade-offs.
Dylan Couzon
August 21, 2026
What to Check Before Tuning a Qdrant Collection
Audit a Qdrant collection: find the settings that degrade retrieval silently, choose the cheapest next change, and size a labeled query set.
Dylan Couzon
August 20, 2026
Predicting Weak Retrieval Without an LLM
Detect weak retrieval with cheap signals from the result, no extra model call. Which one predicts failure depends on your corpus, so test it on your data.
Dylan Couzon
June 24, 2026
Relevance Feedback in Qdrant
The story behind the vector search-native relevance feedback feature, available since 1.17.0, which increases the relevance of search results universally, cheaply, and at scale.
Evgeniya Sukhodolskaya
February 20, 2026
Relevance Feedback in Informational Retrieval
Relerance feedback: from ancient history to LLMs. Why relevance feedback techniques are good on paper but not popular in neural search, and what we can do about it.
Evgeniya Sukhodolskaya
March 27, 2025
Enhance Search Efficiency with Binary Quantization
Explore how Qdrant's Binary Quantization can significantly improve the efficiency and performance of OpenAI's Ada-003 embeddings. Learn best practices for real-time search applications.
Nirant Kasliwal
February 21, 2024