Guides
The guides section is work-in-progress. We want to collect all end-to-end examples of how to use Langfuse here including cookbooks, videos and other external resources.
Video Tutorials
![Beginner's Guide to RAG Evaluation with Langfuse and Ragas](/_next/image?url=%2Fimages%2Fvideos%2Fbeginners-guide-to-rag-evaluation.jpg&w=3840&q=75)
![External Evaluation Pipelines](/_next/image?url=%2Fimages%2Fvideos%2Fexternal-evaluation-pipelines.jpg&w=3840&q=75)
![Haystack Integration](/_next/image?url=%2Fimages%2Fvideos%2Fhaystack.jpg&w=3840&q=75)
![Introducing Datasets v2](/_next/image?url=%2Fimages%2Fvideos%2Fintroducing-datasets-v2.jpg&w=3840&q=75)
![Introducing Langfuse 2.0](/_next/image?url=%2Fimages%2Fvideos%2Fintroducing-langfuse-2.0.jpg&w=3840&q=75)
![Introducing the observe() decorator for Python](/_next/image?url=%2Fimages%2Fvideos%2Fintroducing-python-decorator.jpg&w=3840&q=75)
![LlamaIndex Integration](/_next/image?url=%2Fimages%2Fvideos%2Fllama-index.jpg&w=3840&q=75)
![LLM Playground](/_next/image?url=%2Fimages%2Fvideos%2Fllm-playground.jpg&w=3840&q=75)
![Posthog Integration](/_next/image?url=%2Fimages%2Fvideos%2Fposthog-integration.jpg&w=3840&q=75)
![Webinar: Traceability and Observability in Multi-Step LLM Systems](/_next/image?url=%2Fimages%2Fvideos%2Fwebinar-observability-llm-systems.jpg&w=3840&q=75)
Cookbook
You can find the ipynb
files in the cookbook
(opens in a new tab) directory of the repository.
Datasets
Evaluation
Integrations
Integration Azure Openai Langchain→Integration Haystack→Integration Langchain→Integration Langserve→Integration Litellm Proxy→Integration Llama Index→Integration Llama Index Instrumentation→Integration Llama Index Milvus Lite→Integration Mirascope→Integration Openai Sdk→JS Integration Langchain→JS Integration Litellm Proxy→JS Integration Openai→JS Tracing Example Vercel Ai Sdk→Observe OpenAI Structured Outputs with Langfuse→Ollama Observability and Tracing for local LLMs using Langfuse→Open Source Observability for LangGraph→OSS Observability for Instructor→OSS Observability for OpenAI Assistants API→