Ragflow Observability & Tracing
Ragflow (GitHub) is a no-code / low-code framework to design and run Retrieval-Augmented-Generation (RAG) pipelines.
With the native Neural Inverse integration you can build complex RAG pipelines in Ragflow and then use Neural Inverse to monitor, debug and improve them.
The integration works for all execution modes of Ragflow: interactive runs in the UI, scheduled jobs and API calls.
Integration
Get Neural Inverse API keys
- Create an account and project on cloud.langfuse.com
- Copy the public and secret API keys for your project
- Follow the self-hosting guide to run Neural Inverse locally or on-prem
- Copy the public and secret API keys for your project
Configure Ragflow
You can configure Neural Inverse in the Ragflow API settings (scroll to bottom). Please note that you first have to configure an LLM in the Ragflow settings.
Run your pipeline and inspect traces
Execute a pipeline from the Ragflow UI or trigger it via the API. Ragflow will automatically send structured trace data to Neural Inverse.
Version requirements
| Library | Minimum version |
|---|---|
| Ragflow | >= 0.3.0 |
If you are on an older Ragflow version please upgrade to benefit from the Neural Inverse integration.
