Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Feature]: LangFlow RAG as Custom Rest Backend #1351

Open
2 tasks done
qdrddr opened this issue Dec 18, 2024 · 0 comments
Open
2 tasks done

[Feature]: LangFlow RAG as Custom Rest Backend #1351

qdrddr opened this issue Dec 18, 2024 · 0 comments

Comments

@qdrddr
Copy link

qdrddr commented Dec 18, 2024

Checklist

  • I've searched for similar issues and couldn't find anything matching
  • I've discussed this feature request in the K8sGPT Slack and got positive feedback

Is this feature request related to a problem?

None

Problem Description

Managing data in code is hard for SRE people.
LangFlow offers a simple NoCode/LowCode UI to build RAG and ingest data into it.

Solution Description

I propose to build a Custom Rest Backend based on the LangFlow RAG framework.
So instead of k8sgpt auth add --backend customrest something like k8sgpt auth add --backend-url http://langfuse:8090 or k8sgpt auth add --backend langfuse --baseurl http://langfuse:8090.

LangFuse has API endpoints that we basically can use instead of an AI model backend.

Benefits

NoCode/LowCode RAG with data ingestion pipeline in the UI.

Potential Drawbacks

No response

Additional Information

https://github.com/langflow-ai/langflow
https://github.com/langflow-ai/langflow-helm-charts
https://docs.k8sgpt.ai/tutorials/custom-rest-backend/

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
Status: Proposed
Development

No branches or pull requests

1 participant