#Qdrant

Most engineers see quantization as shrinking vectors. TurboQuant asks a harder question: can you shrink them without breaking their geometry?

Building TechSphereX Studio: Giving AI Agents a Memory Have you ever found yourself correcting GitHub...

From Dev.to - ai: BizNode's semantic memory (Qdrant) makes your bot smarter over time — it remembers past conversations and answers...

Ryan welcomes Bryan O’Grady, Head of Field Research and Solutions Architecture at Qdrant, to discuss the differences between traditional text search engines powered by Lucene and modern vector databases, when vector search’s exact-match needs work for…

From Dev Community: RAG Series (6): Vector Databases — Storage and Retrieval Infrastructure

In this article, we’ll explore the basics of Vector Databases (Vector DBs) and why they are the...

Learn how to architect and deploy a high-performance, fully private RAG pipeline using vLLM for inference and LangChain for orchestration.

5 Ways to Run AI Agents on Oracle Cloud Free Tier (4 ARM Cores, 24GB RAM) Oracle Cloud's...