QdrantVector

Qdrant Vector 1.19.1 is an open-source vector database and similarity search engine designed for storing, managing, and searching high-dimensional vector embeddings. It provides a fast and scalable API for AI, machine learning, semantic search, recommendation systems, and Retrieval-Augmented Generation (RAG) applications.

The solution supports efficient vector similarity search, collection management, payload filtering, persistent vector storage, REST API, and gRPC connectivity. It is suitable for AI applications, semantic search systems, recommendation engines, embeddings storage, and production machine-learning workloads.

Version: 1.19.1

Features of Qdrant Vector:

• High-performance vector similarity search and storage.
• Supports Cosine, Euclidean, Dot Product, and Manhattan distance metrics.
• REST API and gRPC interfaces for application integration.
• Payload-based filtering and metadata management.
• Persistent storage for vector collections and data.
• Suitable for semant