Predicting Weak Retrieval Without an LLM
Cheap signals flag weak retrieval before you pay for a rerank or LLM judge. The one that works depends on how your search fails.
Dylan Couzon
June 24, 2026
Search Quality
Learn how to evaluate and improve the quality of your vector search. Explore relevance feedback, evaluation methodologies, and benchmarking techniques.
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
Incorporating relevance feedback into discovery search, an overview of a research field.
Evgeniya Sukhodolskaya
March 27, 2025
Enhance Search Efficiency with Binary Quantization
Use Qdrant's Binary Quantization to enhance OpenAI embeddings
Nirant Kasliwal
February 21, 2024