Qdrant

This guide explains the key differences between relational, NoSQL, and vector databases, highlighting their strengths, best use cases, and examples. Relational databases are best for structured data and transactions, NoSQL excels at scalability and flexibility, while vector databases power AI and semantic search. Learn how to choose the right database—or combine them in a polyglot approach—for your project.

In the era of AI and machine learning, vector search engines have become a cornerstone for building intelligent applications like recommendation systems, semantic search, and personalized content delivery. Among the many open-source tools available, Qdrant has emerged as a high-performance, scalable, and developer-friendly vector search engine. In this blog post, we’ll dive deep into what makes Qdrant unique, its key features, and how it compares to other popular vector search engines. ...