Discover how Qdrant's Role-Based Access Control (RBAC) ensures data privacy and compliance for your AI applications. Build secure and scalable systems with ease. Read more now!
Qdrant Team
·June 18, 2024
Learn how Qdrant-powered RAG applications can be tested and iteratively improved using LLM evaluation tools like Quotient.
Atita Arora
·June 12, 2024
Explore how RAG enables LLMs to retrieve and utilize relevant external data when generating responses, rather than being limited to their original training data alone.
Sabrina Aquino
·March 19, 2024
Much faster sparse vectors, optimized indexation of text fields and optional CPU resource management configuration.
David Myriel, Mike Jang
·March 06, 2024
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
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
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
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
Explore the next frontier in search technology with Discovery Search. Learn how this innovative API provides precise and tailored results.
Luis Cossío
·January 31, 2024
An overview of vector databases, detailing their functionalities, architecture, and diverse use cases in modern data processing.
Sabrina Aquino
·January 25, 2024
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
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
Why vector search requires a dedicated service.
Andrey Vasnetsov
·November 30, 2023
Qdrant 1.6 brings recommendations strategies and more flexibility to the Recommendation API.
Kacper Łukawski
·October 25, 2023
