Qdrant Product Information What is Qdrant? Qdrant is an Open-Source Vector Database and Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API. How to use Qdrant? To use Qdrant, you can pull the Qdrant image from Docker and run it. Alternatively, you can follow the Quick Start Guide or the step-by-step Tutorial to build your own neural search. Qdrant’s Core Features Fast and scalable vector similarity search Support for vector embeddings and neural network encoders Easy-to-use API with OpenAPI v3 specification Fast and accurate search with a custom modification of the HNSW algorithm Filterable results based on payload values Support for rich data types and query conditions Distributed and cloud-native architecture Efficient utilization of computational resources Qdrant’s Use Cases #1 Similar Image Search#2 Semantic Text Search#3 Recommendations FAQ from Qdrant What is Qdrant? How can I use Qdrant? What are the core features of Qdrant? Qdrant Support Email & Customer service contact & Refund contact etc. More Contact, visit the contact us page(https://qdrant.to/contact-us) Qdrant Pricing Qdrant Pricing Link: https://qdrant.tech/pricing/ Qdrant Youtube Qdrant Youtube Link: https://www.youtube.com/channel/UC6ftm8PwH1RU_LM1jwG0LQAQdrant Linkedin Qdrant Linkedin Link: https://qdrant.to/linkedinQdrant Twitter Qdrant Twitter Link: https://qdrant.to/twitterQdrant Github Qdrant Github Link: https://github.com/qdrant/qdrant
