How Xaver scaled personalized financial advice with Qdrant - Qdrant

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This post details how Xaver built an AI knowledge engine using Qdrant for personalized financial advice. It describes a two-tier retrieval architecture: a Condensed Knowledge Base (CKB) for common questions and a Full Knowledge Base for detailed queries. Qdrant was chosen for its high performance at low latency, developer simplicity, and flexible deployment, enabling sub-second retrieval for conversational use cases and improving advisor efficiency.