RAG & GenAI

Building performant and scalable AI agents with Qdrant involves efficient vector retrieval and hybrid dense-sparse search techniques to achieve real-time memory and multimodal context integration. Optimized architectures are crucial for ensuring low-latency and high-accuracy execution in production environments.