Hi everyone 👋
I’m Gnani, a developer with a strong focus on Generative AI, RAG systems, and ML platform engineering. I’ve been working on LLM-based applications involving agent workflows, vector databases, and model serving.
I’m very interested in contributing to the Agentic RAG on Kubeflow (kubeflow/docs-agent expansion) project for Google Summer of Code.
I’ve started exploring the kubeflow/docs-agent repository and reviewing the current retrieval implementation. I’d love guidance on:
• Areas where new contributors can start helping
• Existing issues that would be good first contributions
• Any recommended design discussions I should review
Looking forward to learning, contributing, and collaborating with the community. Thank you!