
10/17/2024 · Qdrant
What this post added
This post details how Sprinklr integrated Qdrant into their AI-driven customer experience solutions, focusing on RAG and GenAI applications. It highlights Qdrant's benefits for Sprinklr, including developer-friendly documentation, high customizability (quantized vectors, memory mapping), and cost-efficiency. The post presents benchmark results showing Qdrant's superior write performance, low latency (20ms P99 for 1M vectors), and high throughput (250 RPS) compared to Elasticsearch and Milvus. Sprinklr also achieved a 30% cost reduction in their retrieval infrastructure.