46 lines
1.7 KiB
Markdown
46 lines
1.7 KiB
Markdown
# Enterprise-grade, agentic RAG over complex real-world docs
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The project uses EyelevelAI's state of the art document parsing and retrieval system GroundX. It's integrated as a custom tool with CrewAI.
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Before you start, quickly test it on your own document [here](https://dashboard.eyelevel.ai/xray)
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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).
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Grab your API keys's here.
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- [GroundX API keys](https://docs.eyelevel.ai/documentation/fundamentals/quickstart#step-1-getting-your-api-key)
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- [SERPER API keys](https://serper.dev/)
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### Watch this tutorial on YouTube
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[](https://www.youtube.com/watch?v=79xvgj4wvHQ)
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---
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## Setup and installations
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**Setup Environment**:
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- Paste your API keys by creating a `.env`
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- Refer `.env.example` file
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**Install Dependencies**:
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Ensure you have Python 3.11 or later installed.
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```bash
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pip install groundx crewai crewai-tools
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```
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**Running the app**:
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```bash
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streamlit run app_deep_seek.py
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```
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---
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## 📬 Stay Updated with Our Newsletter!
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**Get a FREE Data Science eBook** 📖 with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. [Subscribe now!](https://join.dailydoseofds.com)
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[](https://join.dailydoseofds.com)
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---
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## Contribution
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Contributions are welcome! Please fork the repository and submit a pull request with your improvements.
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