https://github.com/hari7261/document-q-a-llm
A document question-answering system that allows users to upload files (PDFs, DOCs, TXTs) and ask questions about their content using RAG (Retrieval-Augmented Generation) with ChromaDB and Gemma.
https://github.com/hari7261/document-q-a-llm
ai ai-agent chat-with-document chat-with-your-data deepmind deepmind-lab document-qa geema3 generative-ai hari7261 ll llm-inference ollama rag rag-chatbot
Last synced: 2 months ago
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A document question-answering system that allows users to upload files (PDFs, DOCs, TXTs) and ask questions about their content using RAG (Retrieval-Augmented Generation) with ChromaDB and Gemma.
- Host: GitHub
- URL: https://github.com/hari7261/document-q-a-llm
- Owner: hari7261
- License: mit
- Created: 2025-07-04T07:03:58.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-07-04T07:11:55.000Z (3 months ago)
- Last Synced: 2025-07-04T08:25:53.057Z (3 months ago)
- Topics: ai, ai-agent, chat-with-document, chat-with-your-data, deepmind, deepmind-lab, document-qa, geema3, generative-ai, hari7261, ll, llm-inference, ollama, rag, rag-chatbot
- Language: Python
- Homepage:
- Size: 222 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: .github/README-social-preview.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
# Document-Q-A-LLM
A powerful Document Q&A Assistant using RAG with local LLM processing through Ollama.
## Features
- Upload and process PDF, DOCX and TXT files
- Real-time progress tracking
- Ask questions about your documents
- Local processing with Ollama
- Vector search with ChromaDB
## Installation
```bash
pip install -r requirements.txt
```
## Usage
```bash
streamlit run app.py
```
Made with ❤️ by [Hariom Kumar](https://github.com/hari7261)