Taking RAG Pipeline To Production With Caching And Observability

Krish Naik · Intermediate ·🔍 RAG & Vector Search ·1d ago
github link : https://github.com/sourangshupal/betterdb-yt-collab You can check out BetterDB here : https://betterdb.com/b/nVN8k In this we will develop a RAG pipeline to production with LLM Caching And Observability using BetterDB. Self-tuning ValkeyRedis for AI agents 🚀 Super excited to explore BetterDB — a powerful observability and monitoring platform built specifically for Valkey and Redis ecosystems. If you are working with high-performance in-memory databases, BetterDB helps you monitor, debug, audit, and optimize your infrastructure with features like: ✅ Real-time dashboards ✅ Slowlog analysis ✅ Client analytics ✅ ACL audit trails ✅ Historical monitoring & anomaly detection ✅ Prometheus integration ✅ Lightweight agent-based monitoring One thing I really liked is that it helps you understand not just what happened in production, but also why it happened. Perfect for developers, DevOps engineers, and AI/ML applications that heavily rely on caching and low-latency systems.
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