Blog

We're thrilled to announce that Langfuse, the open source observability and analytics solution for LLM applications, has raised a $4m seed round from Lightspeed Venture Partners, La Famiglia and Y Combinator. Read more →

Improved dashboard, OpenAI integration, RAG evals, doubled API speed, simplified Docker deployments. Read more →

Model-based evals, datasets, core improvements (query engine, complex filters, exports, sharing) and new integrations (Langflow, Flowise, LiteLLM). Read more →

Build in no-code in Langflow, observe and analyze in Langfuse Read more →

Improved data ingestion, integrations and UI. Read more →

Async SDKs, automated token counts, new Trace UI, Langchain integration, public GET API, new reports, ... Read more →

Summary of how we've built a Q&A chatbot for the Langfuse docs and how Langfuse helps us to improve it. Read more →

Integrate with Langfuse in seconds using the new Langchain Integration. Read more →

We integrated langfuse with the Vercel AI Chatbot. This example includes streaming responses, automated token counts, collection of user feedback in the frontend, grouping of thread into a single trace, and more. Read more →

Cross-post of our Launch YC (W23) post which explains why we're building Langfuse. Read more →