“From RAG Architecture To Vector Databases – Best Practices For Scalable AI Systems”
Many AI systems fail under load because they ignore how vector databases integrate with RAG architecture. You must design for low-latency retrieval and dynamic data updates to maintain accuracy. Poor indexing choices lead to costly performance bottlenecks. You’ll achieve scalability only by aligning embedding models, database topology, and query patterns from the start. Key Takeaways:…