Qdrant AI technology page Top Builders
Explore the top contributors showcasing the highest number of Qdrant AI technology page app submissions within our community.
Qdrant
Qdrant is a high-performance search engine and database designed specifically for vector similarity. Written in Rust, Qdrant offers fast and reliable performance even under high load, making it an ideal choice for applications that demand speed and scalability. With Qdrant, you can turn your embeddings or neural network encoders into powerful, full-fledged applications for a wide range of use cases. Whether you need to match, search, recommend, or perform other complex operations on large datasets, Qdrant provides a convenient and user-friendly API that simplifies the process. Qdrant's extended filtering support also makes it well-suited for a variety of applications, including faceted search and semantic-based matching. Plus, with its managed solution available on the Qdrant Cloud, you can easily deploy and manage your applications with minimal setup and maintenance.
General | |
---|---|
Relese date | October 29, 2021 |
Author | Qdrant |
Type | Search engine, database |
Tutorials
Great tutorials on how to build with Qdrant
๐ Discover more Qdrant Tutorials on lablab.ai
Qdrant - General sources
Learn even more about Qdrant!
- Qdrant Cloud Qdrant Cloud is a managed solution for Qdrant. It provides a production-ready service for storing, managing, and searching vectors
- Qdrant Repository Qdrant is an open-source search engine and database designed for vector similarity
- Qdrant Documentation Qdrant Documentation
- Qdrant Demo Qdrant Demo Project. This project contains a set of examples of using Qdrant
Qdrant x Cohere resources
Use Qdrant and Cohere to make powerful applications!
- Basic example of the Qdrant and Cohere integration This example shows how to use Qdrant and Cohere to start with this stack
- Q&A application How to build a Q&A application with Qdrant and Cohere
Qdrant AI technology page Hackathon projects
Discover innovative solutions crafted with Qdrant AI technology page, developed by our community members during our engaging hackathons.