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| title: Kubernetes RAG Assistant | |
| emoji: π | |
| colorFrom: gray | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 6.0.2 | |
| app_file: app.py | |
| pinned: false | |
| # π§ Kubernetes RAG Assistant | |
| A Retrieval-Augmented Generation (RAG) system that answers Kubernetes questions using **real documentation** with **citations**. | |
| β Uses OpenRouter models | |
| β Vector search with embeddings | |
| β Live deployed app on Hugging Face | |
| --- | |
| ### π How It Works | |
| 1οΈβ£ User asks a question | |
| 2οΈβ£ Retriever fetches top document chunks | |
| 3οΈβ£ LLM responds with verifiable citations | |
| --- | |
| Created by **Prakyath01** |