Qdrant vector

Qdrant is an open-source vector database designed for efficient storage and similarity search of high-dimensional embeddings. It is widely used in AI applications such as semantic search, recommendation systems, and machine learning pipelines to quickly find similar data based on vector representations.

• High-performance vector similarity search engine.
• Optimized for AI/ML embeddings and semantic search.
• Supports filtering with payload-based queries.
• REST and gRPC APIs for integration with applications.
• Scalable architecture suitable for large datasets.
• Works with Docker for easy deployment.
• Persistent storage for vector data.
• Supports real-time updates and indexing.

$sudo su 
$cd /opt
$sudo docker ps
$ To access Qdrant API: http://your-ip:6333


Disclaimer: Qdrant is an open-source vector database released under the Apache 2.0 license. It is provided "as is" without any warranty. Users are responsible for proper configuration, security, and deployment practices when using Qdrant in production environments.