Vector Search in Production
We gathered our most recommended tips and tricks to make your production deployment run smoothly.
David Myriel
April 30, 2025
Vector Search Manuals
Take full control of your vector data with Qdrant. Learn how to easily store, organize, and optimize vectors for high-performance similarity search.
Optimizing Memory for Bulk Uploads
Efficient memory management is key when handling large-scale vector data. Learn how to optimize memory consumption during bulk uploads in Qdrant and keep your deployments performant under heavy load.
Sabrina Aquino
February 13, 2025
Vector Search Resource Optimization Guide
Learn how to get the most from Qdrant's optimization features. Discover key tricks and best practices to boost vector search performance and reduce Qdrant's resource usage.
David Myriel
February 09, 2025
An Introduction to Vector Databases
Discover what a vector database is, its core functionalities, and real-world applications.
Sabrina Aquino
October 09, 2024
What is Vector Quantization?
In this article, we'll teach you about compression methods like Scalar, Product, and Binary Quantization. Learn how to choose the best method for your specific application.
Sabrina Aquino
September 25, 2024
A Complete Guide to Filtering in Vector Search
Learn everything about filtering in Qdrant. Discover key tricks and best practices to boost semantic search performance and reduce Qdrant's resource usage.
Sabrina Aquino, David Myriel
September 10, 2024
Hybrid Search Revamped - Building with Qdrant's Query API
Our new Query API allows you to build a hybrid search system that uses different search methods to improve search quality & experience. Learn more here.
Kacper Łukawski
July 25, 2024
Data Privacy with Qdrant: Implementing Role-Based Access Control (RBAC)
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
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
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
Optimizing Semantic Search by Managing Multiple Vectors
Discover the power of vector storage optimization and learn how to efficiently manage multiple vectors per object for enhanced semantic search capabilities.
Kacper Łukawski
October 05, 2022
Mastering Batch Search for Vector Optimization
Discover how to optimize your vector search capabilities with efficient batch search. Learn optimization strategies for faster, more accurate results.
Kacper Łukawski
September 26, 2022
Neural Search 101: A Complete Guide and Step-by-Step Tutorial
Discover the power of neural search. Learn what neural search is and follow our tutorial to build a neural search service using BERT, Qdrant, and FastAPI.
Andrey Vasnetsov
June 10, 2021
