Qdrant
- Indexify Unveiled - Diptanu Gon Choudhury | Vector Space Talks
- Qdrant x Dust: How Vector Search helps make work work better - Stan Polu | Vector Space Talks
- What is a Vector Database?
- Announcing Qdrant's $28M Series A Funding Round
- Introducing Qdrant Cloud on Microsoft Azure
- Qdrant Updated Benchmarks 2024
- Navigating challenges and innovations in search technologies
- Open Source Vector Search Engine and Vector Database - Andrey Vasnetsov
- Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks
- Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks
- Building LLM Powered Applications in Production - Hamza Farooq | Vector Space Talks
- Building a High-Performance Entity Matching Solution with Qdrant - Rishabh Bhardwaj | Vector Space Talks
- FastEmbed: Fast & Lightweight Embedding Generation - Nirant Kasliwal | Vector Space Talks
- When music just doesn't match our vibe, can AI help? - Filip Makraduli | Vector Space Talks
- Binary Quantization - Andrey Vasnetsov | Vector Space Talks
- Loading Unstructured.io Data into Qdrant from the Terminal
- Chat with a codebase using Qdrant and N8N
- "Vector search and applications" by Andrey Vasnetsov, CTO at Qdrant
- Qdrant 1.7.0 has just landed!
- Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search
- Vector Search as a dedicated service
- From Content Quality to Compression: The Evolution of Embedding Models at Cohere with Nils Reimers
- Deliver Better Recommendations with Qdrant’s new API
- FastEmbed: Fast and Lightweight Embedding Generation for Text
- Google Summer of Code 2023 - Polygon Geo Filter for Qdrant Vector Database
- Binary Quantization - Vector Search, 40x Faster
- Food Discovery Demo
- Google Summer of Code 2023 - Web UI for Visualization and Exploration
- Semantic Search As You Type
- Vector Similarity beyond Search
- Serverless Semantic Search
- Introducing Qdrant 1.3.0
- Qdrant under the hood: io_uring
- Inference with Mighty
- Qdrant under the hood: Product Quantization
- Introducing Qdrant 1.2.x
- Why Rust?
- On Unstructured Data, Vector Databases, New AI Age, and Our Seed Round.
- Vector Search in constant time
- Qdrant under the hood: Scalar Quantization
- Extending ChatGPT with a Qdrant-based knowledge base
- Pienso & Qdrant: Future Proofing Generative AI for Enterprise-Level Customers
- Powering Bloop semantic code search
- On Hybrid Search
- Filtered search benchmark
- Question Answering with LangChain and Qdrant without boilerplate
- Minimal RAM you need to serve a million vectors
- Question Answering as a Service with Cohere and Qdrant
- Full-text filter and index are already available!
- Full-text filter and index are already available!
- Introducing Qdrant 0.11
- Storing multiple vectors per object in Qdrant
- Optimizing Semantic Search by Managing Multiple Vectors
- Batch vector search with Qdrant
- Mastering Batch Search for Vector Optimization
- Qdrant supports ARM architecture!
- Qdrant 0.10 released
- Layer Recycling and Fine-tuning Efficiency
- Single node benchmarks
- Single node benchmarks (2022)
- Finding errors in datasets with Similarity Search
- Fine Tuning Similar Cars Search
- Q&A with Similarity Learning
- Metric Learning for Anomaly Detection
- Qdrant has joined NVIDIA Inception Program
- Triplet Loss - Advanced Intro
- Qdrant and Jina integration: storage backend support for DocArray
- Neural Search Tutorial
- Metric Learning Tips & Tricks
- Filtrable HNSW
- Semantic Search 101
- Fundamentals
- How vector search should be benchmarked?
- Hybrid Cloud setup
- Neural Search Service
- Qdrant Web UI
- Vector Search Basics
- Advanced Qdrant Operator configuration
- Hybrid Search with Fastembed
- Qdrant vs. Alternatives
- Database Optimization
- Networking, logging & monitoring
- Deployment platforms
- Getting Started
- Administration
- Benchmarks F.A.Q.
- Cloud Quickstart
- Easy to Use API
- Installation
- Optimize Resources
- Quickstart
- API Reference
- Multitenancy
- Bulk Upload Vectors
- Managed Services
- Asynchronous API
- Create and restore from snapshot
- Aleph Alpha Search
- Multitenancy with LlamaIndex