Langfuse has launched a major integration with the LlamaIndex framework, a popular tool for augmenting large language models (LLMs) with private data, which enables retrieval-augmented generation (RAG) applications to enhance response quality. This integration, highly requested by users, allows for streamlined tracing, monitoring, and evaluation of LlamaIndex applications, leveraging Langfuse's observability capabilities. The integration process is simplified through the global callback manager of LlamaIndex, requiring minimal setup, and it supports extensive tracing features such as capturing sessions and metadata. This development completes Langfuse's suite of integrations, which includes existing connections with other LLM frameworks like OpenAI and LangChain, reinforcing Langfuse's commitment to supporting developers and open-source application frameworks.