[Question]: Best way to integrate testing and monitoring tools, something like Agenta

[alexff77]

Describe your problem

Hi, first I want to say that you guys are building a useful tool! Great job! We’re exploring ways to enhance our workflows with RAGFlow and have a few questions about integrating it with tools like Agenta and improving observability:

1. Automating Testing of Retrieval and Model Replies We aim to automate testing for both retrieval results and model-generated replies. Specifically:

   We can write custom code using RAGFLow API to validate retrieval results and responses. Is there a recommended or built-in approach in RAGFLow to perform such automated tests?

2. Iterating on Prompts and Parameters

We’re interested in integrating prompt management and evaluation tools, such as Agenta, to improve iteration and experimentation.

Does RAGFLow support or provide guidance for integrating with tools like Agenta for:
    Creating and versioning prompts?
    Running evaluations on prompts and analyzing results?
    Connecting prompt outcomes to observability for performance monitoring?

3. Monitoring and Logging Improvements

To enhance observability and debugging, have you considered adopting OpenTelemetry standards for logging OpenTelemetry’s documentation.

Does RAGFLow currently support or have plans to support OpenTelemetry for structured logging?
What options are available for tracking logs and metrics across retrieval, generation, and overall system performance?

We are happy to contribute on this if helpful. Your input is much appreciated! Looking forward to your insights and suggestions!

[KevinHuSh]

• 1. For the time being, we use rag/benchmark.py to test retrival relevance. Our result on the test set of microsoft/ms_marco v1.1 is as below:
  • {'ndcg@10': 0.49 'map@5': 0.37, 'mrr@10': 0.40}
  • The result of jina-colbert v2 is as below:
• 2. We don't know much about Agenta which seems interesting. We're gona do some research on it.
• 3. That's a very tremendous suggestion. We're gona do some research.