Prompt Content
Integrate LangFuse into your LlamaIndex RAG pipeline to monitor performance. Configure `LangfuseCallbackHandler` and ensure all LLM calls, embedding calls, and retrieval steps are traced. Explain how you would use LangFuse to debug common RAG issues like low recall or hallucination by inspecting traces. Provide Python code snippets showing the LangFuse integration setup, e.g., `Settings.callback_manager = CallbackManager([LangfuseCallbackHandler(...)])`.
Try this prompt
Open the workspace to execute this prompt with free credits, or use your own API keys for unlimited usage.
Related Prompts
Explore similar prompts from our community
Usage Tips
Copy the prompt and paste it into your preferred AI tool (Claude, ChatGPT, Gemini)
Customize placeholder values with your specific requirements and context
For best results, provide clear examples and test different variations