Qdrant Blog

Features and News

Dust and Qdrant: Using AI to Unlock Company Knowledge and Drive Employee Productivity

Dust and Qdrant: Using AI to Unlock Company Knowledge and Drive Employee Productivity

Using AI to Unlock Company Knowledge and Drive Employee Productivity

By Manuel Meyer · February 06, 2024
Introducing Qdrant Cloud on Microsoft Azure

Introducing Qdrant Cloud on Microsoft Azure

Learn the benefits of Qdrant Cloud on Azure.

By Manuel Meyer · January 17, 2024
Qdrant Updated Benchmarks 2024

Qdrant Updated Benchmarks 2024

We've compared how Qdrant performs against the other vector search engines to give you a thorough performance analysis

By Sabrina Aquino · January 15, 2024
Navigating challenges and innovations in search technologies

Navigating challenges and innovations in search technologies

Podcast on search and LLM with Datatalk.club

By Atita Arora · January 12, 2024
Open Source Vector Search Engine and Vector Database - Andrey Vasnetsov

Open Source Vector Search Engine and Vector Database - Andrey Vasnetsov

Andrey Vasnetsov, CTO and Co-founder of Qdrant, presents an in-depth look into the intricacies of their open-source vector search engine and database, detailing its optimized architecture, data structure challenges, and innovative filtering techniques for efficient vector similarity searches.

By Demetrios Brinkmann · January 10, 2024
Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks

Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks

Noé Achache shares insights on vector search complexities, discussing projects on image matching, document retrieval, and handling sensitive medical data with practical solutions and industry challenges.

By Demetrios Brinkmann · January 09, 2024
Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks

Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks

Nicolas Mauti discusses the improvements to Malt's semantic search capabilities to enhance freelancer and project matching, highlighting the transition to retriever-ranker architecture, implementation of a multilingual encoder model, and the deployment of Qdrant to significantly reduce latency.

By Demetrios Brinkmann · January 09, 2024
Building LLM Powered Applications in Production - Hamza Farooq | Vector Space Talks

Building LLM Powered Applications in Production - Hamza Farooq | Vector Space Talks

Hamza Farooq presents the future of large language models, complex search, and copilot, discussing real-world applications and the challenges of implementing these technologies in production.

By Demetrios Brinkmann · January 09, 2024
Building a High-Performance Entity Matching Solution with Qdrant - Rishabh Bhardwaj | Vector Space Talks

Building a High-Performance Entity Matching Solution with Qdrant - Rishabh Bhardwaj | Vector Space Talks

Rishabh Bhardwaj, a Data Engineer at HRS Group, discusses building a high-performance hotel matching solution with Qdrant, addressing data inconsistency, duplication, and real-time processing challenges.

By Demetrios Brinkmann · January 09, 2024
FastEmbed: Fast & Lightweight Embedding Generation - Nirant Kasliwal | Vector Space Talks

FastEmbed: Fast & Lightweight Embedding Generation - Nirant Kasliwal | Vector Space Talks

Nirant Kasliwal discusses the efficiency and optimization techniques of FastEmbed, a Python library designed for speedy, lightweight embedding generation in machine learning applications.

By Demetrios Brinkmann · January 09, 2024
When music just doesn't match our vibe, can AI help? - Filip Makraduli | Vector Space Talks

When music just doesn't match our vibe, can AI help? - Filip Makraduli | Vector Space Talks

Filip Makraduli discusses using human language and AI to capture music vibes, encoding text with sentence transformers, generating recommendations through vector spaces, integrating Streamlit and Spotify API, and future improvements for AI-powered music recommendations.

By Demetrios Brinkmann · January 09, 2024
Binary Quantization - Andrey Vasnetsov | Vector Space Talks

Binary Quantization - Andrey Vasnetsov | Vector Space Talks

Andrey Vasnetsov, CTO of Qdrant, discusses the concept of binary quantization and its benefits in vector indexing, including the challenges and potential future developments of this technique.

By Demetrios Brinkmann · January 09, 2024
Loading Unstructured.io Data into Qdrant from the Terminal

Loading Unstructured.io Data into Qdrant from the Terminal

Learn how to simplify the process of loading unstructured data into Qdrant using the Qdrant Unstructured destination.

By Anush Shetty · January 09, 2024
Chat with a codebase using Qdrant and N8N

Chat with a codebase using Qdrant and N8N

Building a RAG-based chatbot using Qdrant and N8N to chat with a codebase on GitHub

By Anush Shetty · January 06, 2024
"Vector search and applications" by Andrey Vasnetsov, CTO at Qdrant

"Vector search and applications" by Andrey Vasnetsov, CTO at Qdrant

Andrey Vasnetsov, Co-founder and CTO at Qdrant has shared about vector search and applications with Learn NLP Academy. 

By Alyona Kavyerina · December 11, 2023
Full-text filter and index are already available!

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.

By Kacper Łukawski · November 16, 2022
Storing multiple vectors per object in Qdrant

Storing multiple vectors per object in Qdrant

Discover how Qdrant continues to push the boundaries of data indexing, providing insights into the practical applications and benefits of this novel vector storage strategy.

By Kacper Łukawski · October 05, 2022
Batch vector search with Qdrant

Batch vector search with Qdrant

Discover the latest feature designed to streamline and optimize large-scale searches.

By Kacper Łukawski · September 26, 2022
Qdrant supports ARM architecture!

Qdrant supports ARM architecture!

Qdrant's support for ARM architecture marks a pivotal step in enhancing accessibility and performance. This development optimizes data indexing and retrieval.

By Kacper Łukawski · September 21, 2022
Qdrant has joined NVIDIA Inception Program

Qdrant has joined NVIDIA Inception Program

Along with the various opportunities it gives, we are the most excited about GPU support since it is an essential feature in Qdrant's roadmap. Stay tuned for our new updates.

By Alyona Kavyerina · April 04, 2022
Qdrant and Jina integration: storage backend support for DocArray

Qdrant and Jina integration: storage backend support for DocArray

We are happy to announce that Jina.AI integrates Qdrant engine as a storage backend to their DocArray solution.

By Alyona Kavyerina · March 15, 2022