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 RagasExternal Evaluation PipelinesHaystack IntegrationIntroducing Datasets v2Introducing Langfuse 2.0Introducing the observe() decorator for PythonLlamaIndex IntegrationLLM-as-a-Judge Evaluators for Dataset ExperimentsLLM PlaygroundPosthog IntegrationRun Langfuse Locally in 3 MinutesWebinar: Traceability and Observability in Multi-Step LLM Systems
Cookbook
You can find the ipynb
files in the cookbook
directory of the repository.
Classification
Datasets
Evaluation
Integrations
Example Decorator Openai LangchainObservability and Metrics for Amazon BedrockIntegration Azure Openai LangchainIntegration DspyObservability and Metrics for Google Vertex AI and GeminiOpen Source LLM Observability for GradioIntegration HaystackObservability & Tracing for InstructorIntegration LangchainOpen Source Observability for LangGraphIntegration LangserveIntegration Litellm ProxyIntegration Llama-indexIntegration Llama-index InstrumentationIntegration Llama-index Milvus-liteMonitoring LlamaIndex applications with PostHog and LangfuseIntegration MirascopeIntegration Mistral SdkOllama Observability and Tracing for local LLMs using LangfuseOSS Observability for OpenAI Assistants APIIntegration Openai SdkObserve OpenAI Structured Outputs with LangfuseJs Integration LangchainJs Integration Litellm ProxyJs Integration OpenaiLangfuse JS/TS SDK