LlamaIndex RAG tracing
Trace LlamaIndex RAG pipelines end-to-end. Capture retrieval, re-ranking, embeddings, and LLM synthesis as a single replayable trace.
Trace every LlamaIndex run
Full span traces
See the complete execution tree of every LlamaIndex run — nested spans, tool calls, and LLM requests on one timeline.
Cost & latency analytics
Track token usage, cost, and latency for every LlamaIndex call, broken down by model, prompt, or metadata.
Rich metadata & search
Tag, score, and search every request. Filter production traffic by content, model, status, or custom key-value pairs.
OpenTelemetry-native
LlamaIndex streams traces straight to PromptLayer's OTLP endpoint — no proxy in your request path, no SDK rewrite.
Debug in the playground
Open any LlamaIndex trace in the Playground to reproduce, tweak, and fix the exact prompt that failed.
Turn traces into evals
Promote real LlamaIndex runs into versioned datasets and run evaluation pipelines to catch regressions.
Understand what your LlamaIndex app is doing
LlamaIndex powers retrieval-augmented apps. PromptLayer traces each query — retrieval, re-ranking, and synthesis — so you can debug RAG quality.
See the full picture
Every LlamaIndex run becomes a searchable, replayable trace — inputs, outputs, models, and timing.
Find the bottleneck
Pinpoint the slow span or expensive model call dragging down your LlamaIndex pipeline.
Catch failures fast
Surface errors, failed tool calls, and low-quality outputs before your users do.
Ship with confidence
Connect traces to evaluation pipelines so every change to your LlamaIndex app is tested.
Frequently asked questions
If you still have questions feel free to contact us at sales@promptlayer.com