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patchy631--ai-engineering-hub/agentic_rag_deepseek/README.md
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2026-07-13 12:37:47 +08:00

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# Enterprise-grade, agentic RAG over complex real-world docs
The project uses EyelevelAI's state of the art document parsing and retrieval system GroundX. It's integrated as a custom tool with CrewAI.
Before you start, quickly test it on your own document [here](https://dashboard.eyelevel.ai/xray)
GroundX can also be deployed completely on premise as well, the code is open-source, here's their [GitHub repo](https://github.com/eyelevelai/groundx-on-prem).
Grab your API keys's here.
- [GroundX API keys](https://docs.eyelevel.ai/documentation/fundamentals/quickstart#step-1-getting-your-api-key)
- [SERPER API keys](https://serper.dev/)
### Watch this tutorial on YouTube
[![Watch this tutorial on YouTube](https://github.com/patchy631/ai-engineering-hub/blob/main/agentic_rag_deepseek/assets/thumbnail.png)](https://www.youtube.com/watch?v=79xvgj4wvHQ)
---
## Setup and installations
**Setup Environment**:
- Paste your API keys by creating a `.env`
- Refer `.env.example` file
**Install Dependencies**:
Ensure you have Python 3.11 or later installed.
```bash
pip install groundx crewai crewai-tools
```
**Running the app**:
```bash
streamlit run app_deep_seek.py
```
---
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---
## Contribution
Contributions are welcome! Please fork the repository and submit a pull request with your improvements.