Is RAG Dead? Why Long Context Windows Don't Replace RAG
Uncover the necessity of vector search for RAG and learn how Qdrant empowers enterprise AI with unmatched accuracy and cost-effectiveness.
David Myriel & Chadha Sridi
August 04, 2026
Core Concepts
Start here to understand the building blocks of vector search. Learn what vector databases, embeddings, quantization, and retrieval-augmented generation are and how they fit together.
How to Choose an Embedding Model: Evaluation & Tradeoffs
Building proper search requires selecting the right embedding model for your specific use case. This guide helps you navigate the selection process based on performance, cost, and other practical considerations.
Kacper Łukawski
July 15, 2025
Why Vector Search Needs a Dedicated Database
Why add-on vector search looks good — until you actually use it.
Evgeniya Sukhodolskaya & Andrey Vasnetsov
February 17, 2025
What is a Vector Database?
Discover how vector databases power semantic search by understanding the meaning behind your data. This guide breaks down how they work and why they've become the backbone of modern AI search.
Sabrina Aquino & Chadha Sridi
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
Understanding Retrieval-Augmented Generation (RAG)
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
Vector Embeddings Explained: How They Work in ML & Search
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
Understanding SPLADE and Sparse Vectors
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
Do You Need Dedicated Vector Search?
Why vector search requires a dedicated service.
Andrey Vasnetsov
November 30, 2023