qdrant.io
Open-source Vector Database and Search Engine.
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使用指南
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_LM1jwG0LQA
Qdrant Linkedin
Qdrant Linkedin Link:
https://qdrant.to/linkedin
Qdrant Twitter
Qdrant Twitter Link:
https://qdrant.to/twitter
Qdrant Github
Qdrant Github Link:
https://github.com/qdrant/qdrant
