Taking RAG Pipeline To Production With Caching And Observability @krishnaik06
Taking RAG Pipeline To Production With Caching And Observability  @krishnaik06
Uploaded May 2026 | Updated September 2026, 1 week ago
github link : github.com/sourangshupal/betterdb-yt-collab
You can check out BetterDB here : 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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Krish Naik |

Taking RAG Pipeline To Production With Caching And Observability

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