Qdrant 1.14.0 is out! Let’s look at the main features for this version:
Score-Boosting Reranker: Blend vector similarity with custom rules and context. Improved Resource Utilization: CPU and disk IO optimization for faster processing.
Incremental HNSW Indexing: Build indexes gradually as data arrives. Batch Search: Optimized parallel processing for batch queries.
Memory Optimization: Reduced usage for large datasets with improved ID tracking.
Score-Boosting Reranker
When integrating vector search into specific applications, you can now tweak the final result list using domain or business logic. For example, if you are building a chatbot or search on website content, you can rank results with title metadata higher than body_text in your results.