landing_page/qdrant-landing/content/retrieval-augmented-generation/retrieval-augmented-generation-features.md

title, description, features, sitemapExclude

title	description	features	sitemapExclude
RAG with Qdrant	RAG, powered by Qdrant's efficient data retrieval, elevates AI's capacity to generate rich, context-aware content across text, code, and multimedia, enhancing relevance and precision on a scalable platform. Discover why Qdrant is the perfect choice for your RAG project.	id icon title description 0 src alt /icons/outline/speedometer-blue.svg Speedometer Highest RPS Qdrant leads with top requests-per-second, outperforming alternative vector search in various datasets by up to 4x. id icon title description 1 src alt /icons/outline/time-blue.svg Time Fast Retrieval Qdrant achieves the lowest latency, ensuring quicker response times in data retrieval: 3ms response for 1M Open AI embeddings. id icon title description 2 src alt /icons/outline/vectors-blue.svg Vectors Multi-Vector Support Integrate the strengths of multiple vectors per document, such as title and body, to create search experiences your customers admire. id icon title description 3 src alt /icons/outline/compression-blue.svg Compression Built-in Compression Significantly reduce memory usage, improve search performance and save up to 30x cost for high-dimensional vectors with Quantization.	true