Qdrant Articles

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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.

Andre Zayarni

April 19, 2023

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.

Prankstorm Team

April 01, 2023

Scalar Quantization: Background, Practices & More | Qdrant

Discover the efficiency of scalar quantization for optimized data storage and enhanced performance. Learn about its data compression benefits and efficiency improvements.

Kacper Łukawski

March 27, 2023

Extending ChatGPT with a Qdrant-based knowledge base

ChatGPT factuality might be improved with semantic search. Here is how.

Kacper Łukawski

March 23, 2023

On Hybrid Search

What Hybrid Search is and how to get the best of both worlds.

Kacper Łukawski

February 15, 2023

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.

Kacper Łukawski

January 31, 2023

How to Optimize RAM Requirements for 1 Million Vectors: A Case Study

Unlock the secrets of efficient RAM measurement and memory optimization with this comprehensive guide, ensuring peak performance and resource utilization.

Andrei Vasnetsov

December 07, 2022