Qdrant

Qdrant is an open-source vector search engine and database built entirely in Rust, designed to power AI retrieval at any scale with high performance and low latency. The platform enables developers to store, search, and manage high-dimensional vector embeddings with advanced metadata filtering, native hybrid search combining dense and sparse vectors, and real-time indexing without rebuilding indices. Qdrant supports RAG pipelines, AI agents with persistent memory, semantic search, and recommendation systems, and is available as a fully managed cloud service or self-hosted deployment. The company has raised $85.5 million and serves customers including Slack, Adobe, HubSpot, Google DeepMind, and Qualcomm.