Taking RAG Pipeline To Production With Caching And Observability

Krish Naik · Intermediate ·🔍 RAG & Vector Search ·5d 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.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Up next
Watch this before applying for jobs as a developer.
Tech With Tim
Watch →