Langfuse
Open-source observability and tracing platform for LLM applications, including RAG pipelines.
- Main use case
- Tracing, debugging, and evaluating LLM application behavior.
- Open source
- Open source
- Self-hosting
- Yes
- Cloud
- Yes
- Pricing note
- Verify cloud pricing and limits from official source.
- Target users
- AI engineers, product teams, platform teams
Strengths
- Trace visibility
- Self-host and cloud options
- Useful for production monitoring
Limitations
- Instrumentation requires implementation work
- Plan-specific features should be verified
How to evaluate this tool
- Test Langfuse with a small representative corpus.
- Verify official documentation, pricing, licensing, and deployment options.
- Measure retrieval quality, latency, and operational complexity.
- Check whether the team can maintain ingestion, updates, logs, and evaluation.