Qdrant 1.8.0: Enhanced Search Capabilities for Better Results
Explore the latest in search technology with Qdrant 1.8.0! Discover faster performance, smarter indexing, and enhanced search capabilities.
David Myriel, Mike Jang
·March 06, 2024
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Is RAG Dead? The Role of Vector Databases in Vector Search | Qdrant
Uncover the necessity of vector databases for RAG and learn how Qdrant's vector database empowers enterprise AI with unmatched accuracy and cost-effectiveness.
David Myriel
·February 27, 2024
Optimizing OpenAI Embeddings: Enhance Efficiency with Qdrant's Binary Quantization
Explore how Qdrant's Binary Quantization can significantly improve the efficiency and performance of OpenAI's Ada-003 embeddings. Learn best practices for real-time search applications.
Nirant Kasliwal
·February 21, 2024
What are Vector Embeddings? - Revolutionize Your Search Experience
Discover the power of vector embeddings. Learn how to harness the potential of numerical machine learning representations to create a personalized Neural Search Service with FastEmbed.
Sabrina Aquino
·February 06, 2024
How to Implement Multitenancy and Custom Sharding in Qdrant
Discover how multitenancy and custom sharding in Qdrant can streamline your machine-learning operations. Learn how to scale efficiently and manage data securely.
David Myriel
·February 06, 2024
Discovery needs context
Discovery Search, an innovative way to constrain the vector space in which a search is performed, relying only on vectors.
Luis Cossío
·January 31, 2024
Qdrant 1.7.0 has just landed!
Sparse vectors, Discovery API, user-defined sharding, and snapshot-based shard transfer. That's what you can find in the latest Qdrant 1.7.0 release!
Kacper Łukawski
·December 10, 2023
What is a Sparse Vector? How to Achieve Vector-based Hybrid Search
Learn what sparse vectors are, how they work, and their importance in modern data processing. Explore methods like SPLADE for creating and leveraging sparse vectors efficiently.
Nirant Kasliwal
·December 09, 2023
Vector Search as a dedicated service
Why vector search requires a dedicated service.
Andrey Vasnetsov
·November 30, 2023
Deliver Better Recommendations with Qdrant’s new API
Qdrant 1.6 brings recommendations strategies and more flexibility to the Recommendation API.
Kacper Łukawski
·October 25, 2023
FastEmbed: Qdrant's Efficient Python Library for Embedding Generation
Learn how to accurately and efficiently create text embeddings with FastEmbed.
Nirant Kasliwal
·October 18, 2023
Google Summer of Code 2023 - Polygon Geo Filter for Qdrant Vector Database
A Summary of my work and experience at Qdrant's Gsoc '23.
Zein Wen
·October 12, 2023
Binary Quantization - Vector Search, 40x Faster
Binary Quantization is a newly introduced mechanism of reducing the memory footprint and increasing performance
Nirant Kasliwal
·September 18, 2023
Food Discovery Demo
Feeling hungry? Find the perfect meal with Qdrant's multimodal semantic search.
Kacper Łukawski
·September 05, 2023
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