Full-text filter and index are already available!
Qdrant v0.10 introduced full-text filters and indexes to enable more search capabilities for those working with textual data.
Kacper Łukawski
·November 16, 2022
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Qdrant Articles
Check out our latest publications
Introducing Qdrant 0.11
Replication support is the most important change introduced by Qdrant 0.11. Check out what else has been added!
Kacper Łukawski
·October 26, 2022
Optimizing Semantic Search by Managing Multiple Vectors
Discover the power of vector storage optimization and learn how to efficiently manage multiple vectors per object for enhanced semantic search capabilities.
Kacper Łukawski
·October 05, 2022
Mastering Batch Search for Vector Optimization
Discover how to optimize your vector search capabilities with efficient batch search. Learn optimization strategies for faster, more accurate results.
Kacper Łukawski
·September 26, 2022
Qdrant 0.10 released
Qdrant 0.10 brings a lot of changes. Check out what's new!
Kacper Łukawski
·September 19, 2022
Layer Recycling and Fine-tuning Efficiency
Learn when and how to use layer recycling to achieve different performance targets.
Yusuf Sarıgöz
·August 23, 2022
Finding errors in datasets with Similarity Search
Improving quality of text-and-images datasets on the online furniture marketplace example.
George Panchuk
·July 18, 2022
Fine Tuning Similar Cars Search
Learn how to train a similarity model that can retrieve similar car images in novel categories.
Yusuf Sarıgöz
·June 28, 2022
Q&A with Similarity Learning
A complete guide to building a Q&A system using Quaterion and SentenceTransformers.
George Panchuk
·June 28, 2022
Metric Learning for Anomaly Detection
Practical use of metric learning for anomaly detection. A way to match the results of a classification-based approach with only ~0.6% of the labeled data.
Yusuf Sarıgöz
·May 04, 2022
Triplet Loss - Advanced Intro
What are the advantages of Triplet Loss over Contrastive loss and how to efficiently implement it?
Yusuf Sarıgöz
·March 24, 2022
Neural Search 101: A Complete Guide and Step-by-Step Tutorial
Discover the power of neural search. Learn what neural search is and follow our tutorial to build a neural search service using BERT, Qdrant, and FastAPI.
Andrey Vasnetsov
·June 10, 2021
Metric Learning Tips & Tricks
Practical recommendations on how to train a matching model and serve it in production. Even with no labeled data.
Andrei Vasnetsov
·May 15, 2021
Filtrable HNSW
How to make ANN search with custom filtering? Search in selected subsets without loosing the results.
Andrei Vasnetsov
·November 24, 2019
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