Interactive Demo
Try Langfuse yourself with a view-only project. Alternatively:
- Watch video walkthrough (2 min)
- Prefer GIFs? See below ↓
- Schedule personal demo
Try it yourself
View demo project in Langfuse
Get access to demo project by creating a free account (no credit card required).
Create demo account
Produce new traces & feedback
Interact with chatbot below to see new traces and user feedback in Langfuse.
👋 Do you have any questions about Langfuse? Ask me!
⚠️ Warning: Do not enter sensitive information. All chat messages can be viewed in the live demo. Humans (the founders) are available via the chat widget.
Interested in implementation details? Checkout the blog post (code is fully open source).
Prefer GIFs?
Reporting
- Monitor usage (cost control)
- Track latency, quality (based on user feedback) and OpenAI errors
Tracing
Each response is based on the following steps which can go wrong, be slow or expensive:
- Embedding of user request
- Embedding similarity search in Postgres
- Summary of docs as markdown
- Generation of response based on retrieved context and chat history
This is how a single trace looks like in Langfuse:
User feedback collection
In this example, we can see how we do:
- Collection of feedback using the Langfuse Web SDK
Negative, Langchain not included in response
- Browsing of feedback
- Identification of the root cause of the low-quality response
Docs on Langchain integration are not included in embedding similarity search
