| --- |
| title: QueryDocs AI |
| emoji: 📚 |
| colorFrom: blue |
| colorTo: gray |
| sdk: docker |
| app_file: app.py |
| pinned: true |
| --- |
| |
| # 📚 QueryDocs AI |
|
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| Intelligent PDF Q&A powered by RAG pipeline + TinyLlama 1.1B. |
|
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| Upload any PDF and ask questions — get accurate, context-aware answers instantly. |
|
|
| ## Features |
| - 📄 PDF upload & processing |
| - 🔍 RAG pipeline with FAISS vector search |
| - 💬 Chat interface with source transparency |
| - ⚡ TinyLlama 1.1B local LLM |
|
|
| ## Built By |
| **Sriram Sai Laggisetti** — [GitHub](https://github.com/sriramsai18) · [LinkedIn](https://www.linkedin.com/in/sriram-sai-laggisetti/) |
| --- |
| An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index). |
