InInsider One EngineeringbyTunahan Yazar·1d agoMoving a 250 GiB Qdrant cluster from API snapshots to EBS snapshotsHi, I’m Tunahan, a junior machine learning engineer on the recommendation systems team at Insider One. This post is about the vector…A response icon2A response icon2
Sathishdurai·5d agoGetting to Know Qdrant — Part 2: Building a DevOps Runbook Search AppIn Part 1, we explored what Qdrant does and where a vector database fits in an AI application. In this part, let’s make it practical with a…A response icon2A response icon2
Abulfarhad Ibnalam·5d agoWhen BM25 Meets Japanese: Fixing Sparse Retrieval in Qdrant with SudachiPySolving a language-specific tokenization problem in a hybrid search pipeline for Japanese legal documents.
Mohammad Anwar Siddiqui·Nov 1Building a Self-Hosted Multimodal RAG System Using n8n, Ollama, Qdrant, and DoclingHow I Built an Automated AI-Powered Document Search System Using Open-Source TechnologiesA response icon2A response icon2
Mohamed Arbi Nsibi·Oct 31Qdrant 1.20: BM25 Without Sparse Vectors, Turbo16 & Turbo8BM25 straight from your payload, a tokenizer that finally understands camelCase, nested filters 7x faster, and two new TurboQuant…
M K Pavan Kumar·Oct 30Does Index-Native BM25 Change Retrieval Quality? A Two-Collection Experiment in Qdrant 1.20What if you could remove the separate BM25 sparse-encoding step from your hybrid RAG pipeline? Would you still retrieve the evidence that…
Hitoruna·Oct 29From Dropbox to Qdrant: Building a Document Ingestion Workflow with n8nA small, hands-on project to explore how far low-code automation can take us when preparing documents for retrievalA response icon1A response icon1
InLevel Up CodingbyAmro Abdalla·Oct 28Qdrant’s free tier can be your whole database, not just your vector indexTL;DR: Qdrant isn’t only a vector index. but a whole database for my usecase
Ashfaq·Oct 24I Built the Flink SQL Connector Qdrant Didn’t HaveA new open-source Apache Flink SQL connector for Qdrant: write streaming embeddings straight into Qdrant with a CREATE TABLE and an INSERT…
Merve Bayrak·Oct 23Geleneksel Aramadan Semantic Search’e: Vector Database ve Embedding1. Geleneksel Veritabanları Neden Her Zaman Yeterli Değil?
