使用 OpenTelemetry 和 SigNoz 观察 LlamaIndex 应用

LlamaIndex has emerged as a popular framework for building Retrieval-Augmented Generation (RAG) applications, enabling developers to seamlessly connect large language models with private or domain-specific data. However, RAG workflows can be intricate, with slow retrieval times, irrelevant or inconsistent responses, and silent failures in the data pipeline potentially degrading user experience. Observability becomes crucial in this context. By instrumenting LlamaIndex-based RAG applications with OpenTelemetry and sending telemetry data to SigNoz, developers can track retrieval and generation performance, identify bottlenecks, catch errors early, and gain actionable insights into application behavior in production with minimal setup.