Qdrant has launched a new Hybrid Cloud in collaboration with LlamaIndex, aiming to facilitate the development and scaling of generative AI applications by engineers and scientists. This partnership allows users to leverage LlamaIndex's robust framework for vector search while utilizing Qdrant's Kubernetes-based architecture, offering flexibility in deploying vector databases in preferred environments. The integration enhances capabilities for building secure applications that effectively search, understand, and converse using text. While LlamaIndex adds context to LLM-based generation methods, Qdrant's vector database enriches performance by sorting through semantically relevant information. Users benefit from advanced features like hybrid search, which combines sparse and dense vector results, and are supported by extensive documentation, tutorials, and open-source compatibility. The collaboration promises seamless deployment and advanced RAG solutions, with tutorials available to guide users in building AI applications, such as systems that retrieve information from complex PDF manuals.