Qdrant
- How Lyzr Supercharged AI Agent Performance with Qdrant
- How Mixpeek Uses Qdrant for Efficient Multimodal Feature Stores
- Automating Business Processes with Qdrant and n8n: Use Cases Beyond Simple Similarity Search
- Satellite Vector Broadcasting: Near-Zero Latency Retrieval from Space
- Relevance Feedback in Informational Retrieval
- Vibe Coding RAG with our MCP server
- Distance-based data exploration
- How Deutsche Telekom Built a Multi-Agent Enterprise Platform Leveraging Qdrant—Powering 2+ Million Conversations
- Introducing Qdrant Cloud’s New Enterprise-Ready Vector Search
- Metadata automation and optimization - Reece Griffiths | Vector Space Talks
- Built for Vector Search
- Optimizing Memory for Bulk Uploads
- Vector Search Resource Optimization Guide
- Introducing Gridstore: Qdrant's Custom Key-Value Store
- How to Build Intelligent Agentic RAG with CrewAI and Qdrant
- Qdrant 1.13 - GPU Indexing, Strict Mode & New Storage Engine
- Static Embeddings: should you pay attention?
- Voiceflow & Qdrant: Powering No-Code AI Agent Creation with Scalable Vector Search
- Building a Facial Recognition System with Qdrant
- Optimizing ColPali for Retrieval at Scale, 13x Faster Results
- Best Practices in RAG Evaluation: A Comprehensive Guide
- What is Agentic RAG? Building Agents with Qdrant
- Empowering QA.tech’s Testing Agents with Real-Time Precision and Scale
- Advanced Retrieval with ColPali & Qdrant Vector Database
- Modern Sparse Neural Retrieval: From Theory to Practice
- How Sprinklr Leverages Qdrant to Enhance AI-Driven Customer Experience Solutions
- Qdrant Summer of Code 2024 - ONNX Cross Encoders in Python
- Qdrant 1.12 - Distance Matrix, Facet Counting & On-Disk Indexing
- New DeepLearning.AI Course on Retrieval Optimization: From Tokenization to Vector Quantization
- Introducing Qdrant for Startups
- What is Vector Quantization?
- Qdrant and Shakudo: Secure & Performant Vector Search in VPC Environments
- Data-Driven RAG Evaluation: Testing Qdrant Apps with Relari AI
- Nyris & Qdrant: How Vectors are the Future of Visual Search
- A Complete Guide to Filtering in Vector Search
- Qdrant Summer of Code 2024 - WASM based Dimension Reduction
- Kern AI & Qdrant: Precision AI Solutions for Finance and Insurance
- Qdrant Internals: Immutable Data Structures
- Any* Embedding Model Can Become a Late Interaction Model... If You Give It a Chance!
- Qdrant 1.11 - The Vector Stronghold: Optimizing Data Structures for Scale and Efficiency
- Kairoswealth & Qdrant: Transforming Wealth Management with AI-Driven Insights and Scalable Vector Search
- BM42: New Baseline for Hybrid Search
- Qdrant 1.10 - Universal Query, Built-in IDF & ColBERT Support
- Community Highlights #1
- Data Privacy with Qdrant: Implementing Role-Based Access Control (RBAC)
- Optimizing RAG Through an Evaluation-Based Methodology
- Response to CVE-2024-3829: Arbitrary file upload vulnerability
- Qdrant Attains SOC 2 Type II Audit Report
- Introducing Qdrant Stars: Join Our Ambassador Program!
- Intel’s New CPU Powers Faster Vector Search
- QSoC 2024: Announcing Our Interns!
- Semantic Cache: Accelerating AI with Lightning-Fast Data Retrieval
- Semantic Cache: Accelerating AI with Lightning-Fast Data Retrieval
- Are You Vendor Locked?
- Visua and Qdrant: Vector Search in Computer Vision
- Qdrant 1.9.0 - Heighten Your Security With Role-Based Access Control Support
- Qdrant's Trusted Partners for Hybrid Cloud Deployment
- Qdrant Hybrid Cloud: the First Managed Vector Database You Can Run Anywhere
- Developing Advanced RAG Systems with Qdrant Hybrid Cloud and LangChain
- Advancements and Challenges in RAG Systems - Syed Asad | Vector Space Talks
- Building Search/RAG for an OpenAPI spec - Nick Khami | Vector Space Talks
- Gen AI and Vector Search - Iveta Lohovska | Vector Space Talks
- Red Hat OpenShift and Qdrant Hybrid Cloud Offer Seamless and Scalable AI
- Qdrant Hybrid Cloud and DigitalOcean for Scalable and Secure AI Solutions
- Enhance AI Data Sovereignty with Aleph Alpha and Qdrant Hybrid Cloud
- Vultr and Qdrant Hybrid Cloud Support Next-Gen AI Projects
- STACKIT and Qdrant Hybrid Cloud for Best Data Privacy
- Qdrant Hybrid Cloud and Scaleway Empower GenAI
- Qdrant and OVHcloud Bring Vector Search to All Enterprises
- New RAG Horizons with Qdrant Hybrid Cloud and LlamaIndex
- Cutting-Edge GenAI with Jina AI and Qdrant Hybrid Cloud
- Qdrant Hybrid Cloud and Haystack for Enterprise RAG
- Elevate Your Data With Airbyte and Qdrant Hybrid Cloud
- Teaching Vector Databases at Scale - Alfredo Deza | Vector Space Talks
- How to meow on the long tail with Cheshire Cat AI? - Piero and Nicola | Vector Space Talks
- Response to CVE-2024-2221: Arbitrary file upload vulnerability
- Introducing FastLLM: Qdrant’s Revolutionary LLM
- VirtualBrain: Best RAG to unleash the real power of AI - Guillaume Marquis | Vector Space Talks
- Talk with YouTube without paying a cent - Francesco Saverio Zuppichini | Vector Space Talks
- Qdrant is Now Available on Azure Marketplace!
- Production-scale RAG for Real-Time News Distillation - Robert Caulk | Vector Space Talks
- Insight Generation Platform for LifeScience Corporation - Hooman Sedghamiz | Vector Space Talks
- The challenges in using LLM-as-a-Judge - Sourabh Agrawal | Vector Space Talks
- Vector Search for Content-Based Video Recommendation - Gladys and Samuel from Dailymotion
- What is RAG: Understanding Retrieval-Augmented Generation
- Integrating Qdrant and LangChain for Advanced Vector Similarity Search
- IrisAgent and Qdrant: Redefining Customer Support with AI
- Qdrant 1.8.0 - Major Performance Enhancements
- Dailymotion's Journey to Crafting the Ultimate Content-Driven Video Recommendation Engine with Qdrant Vector Database
- RAG is Dead. Long Live RAG!
- Comparing Qdrant vs Pinecone: A Detailed Analysis of Vector Databases for AI Applications
- What is Vector Similarity? Understanding its Role in AI Applications.
- DSPy vs LangChain: A Comprehensive Framework Comparison
- Enhance OpenAI Embeddings with Qdrant's Binary Quantization
- Qdrant Summer of Code 24
- What are Vector Embeddings?
- Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding
- Dust and Qdrant: Using AI to Unlock Company Knowledge and Drive Employee Productivity
- Discovery needs context
- The Bitter Lesson of Retrieval in Generative Language Model Workflows - Mikko Lehtimäki | Vector Space Talks