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Binary Quantization - Vector Search, 40x Faster
Binary Quantization is a newly introduced mechanism of reducing the memory footprint and increasing performance
September 18, 2023 | Nirant Kasliwal
Food Discovery Demo
Feeling hungry? Find the perfect meal with Qdrant's multimodal semantic search.
September 5, 2023 | Kacper Łukawski
Google Summer of Code 2023 - Web UI for Visualization and Exploration
My journey as a Google Summer of Code 2023 student working on the "Web UI for Visualization and Exploration" project for Qdrant.
August 28, 2023 | Kartik Gupta
Semantic Search As You Type
To show off Qdrant's performance, we show how to do a quick search-as-you-type that will come back within a few milliseconds.
August 14, 2023 | Andre Bogus
Vector Similarity beyond Search
We explore some of the promissing new techniques that can be used to expand use-cases of unstructured data and unlock new similarities-based data exploration tools.
August 8, 2023 | Luis Cossío
Serverless Semantic Search
Create a serverless semantic search engine using nothing but Qdrant and free cloud services.
July 12, 2023 | Andre Bogus
Introducing Qdrant 1.3.0
New version is out! Our latest release brings about some exciting performance improvements and much-needed fixes.
June 26, 2023 | David Sertic
Qdrant under the hood: io_uring
Slow disk decelerating your Qdrant deployment? Get on top of IO overhead with this one trick!
June 21, 2023 | Andre Bogus
Qdrant under the hood: Product Quantization
Vector search with low memory? Try out our brand-new Product Quantization!
May 30, 2023 | Kacper Łukawski
Qdrant under the hood: Scalar Quantization
Scalar Quantization is a newly introduced mechanism of reducing the memory footprint and increasing performance
March 27, 2023 | Kacper Łukawski
On Unstructured Data, Vector Databases, New AI Age, and Our Seed Round.
We announce Qdrant seed round investment and share our thoughts on Vector Databases and New AI Age.
April 19, 2023 | Andre Zayarni
Question Answering with LangChain and Qdrant without boilerplate
We combined LangChain, pretrained LLM from OpenAI, SentenceTransformers and Qdrant to create a Q&A system with just a few lines of code.
January 31, 2023 | Kacper Łukawski
Extending ChatGPT with a Qdrant-based knowledge base
ChatGPT factuality might be improved with semantic search. Here is how.
March 23, 2023 | Kacper Łukawski
Minimal RAM you need to serve a million vectors
How to properly measure RAM usage and optimize Qdrant for memory consumption.
December 7, 2022 | Andrei Vasnetsov
Question Answering as a Service with Cohere and Qdrant
End-to-end Question Answering system for the biomedical data with SaaS tools: Cohere co.embed API and Qdrant
November 29, 2022 | Kacper Łukawski
Introducing Qdrant 1.2.x
Check out what Qdrant 1.2 brings to vector search
May 24, 2023 | Kacper Łukawski
On Hybrid Search
What Hybrid Search is and how to get the best of both worlds.
February 15, 2023 | Kacper Łukawski
Finding errors in datasets with Similarity Search
Improving quality of text-and-images datasets on the online furniture marketplace example.
July 18, 2022 | George Panchuk
Q&A with Similarity Learning
A complete guide to building a Q&A system using Quaterion and SentenceTransformers.
June 28, 2022 | George Panchuk
Why Rust?
Qdrant could be built in any language. But it's written in Rust. Here*s why.
May 11, 2023 | Andre Bogus
Layer Recycling and Fine-tuning Efficiency
Learn when and how to use layer recycling to achieve different performance targets.
August 23, 2022 | Yusuf Sarıgöz
Fine Tuning Similar Cars Search
Learn how to train a similarity model that can retrieve similar car images in novel categories.
June 28, 2022 | Yusuf Sarıgöz
Metric Learning Tips & Tricks
Practical recommendations on how to train a matching model and serve it in production. Even with no labeled data.
May 15, 2021 | Andrei Vasnetsov
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.
May 4, 2022 | Yusuf Sarıgöz
Triplet Loss - Advanced Intro
What are the advantages of Triplet Loss over Contrastive loss and how to efficiently implement it?
March 24, 2022 | Yusuf Sarıgöz
Neural Search Tutorial
Our step-by-step guide on how to build a neural search service with BERT + Qdrant + FastAPI.
June 10, 2021 | Andrei Vasnetsov
Filtrable HNSW
How to make ANN search with custom filtering? Search in selected subsets without loosing the results.
November 24, 2019 | Andrei Vasnetsov
Introducing Qdrant 0.11
Replication support is the most important change introduced by Qdrant 0.11. Check out what else has been added!
October 26, 2022 | Kacper Łukawski
Qdrant 0.10 released
Qdrant 0.10 brings a lot of changes. Check out what's new!
September 19, 2022 | Kacper Łukawski
Vector Search in constant time
Quantum Quantization enables vector search in constant time. This article will discuss the concept of quantum quantization for ANN vector search.
April 1, 2023 | Prankstorm Team

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