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🚀 biotech-intel - A Smart Tool for Biotech Research

🛠️ Overview

biotech-intel is a production-grade machine learning platform tailored for biotech research. This software helps users discover relevant research papers, biotech companies, and funding opportunities through an advanced multi-agent retrieval system. With features like semantic search and knowledge graphs, biotech-intel provides a comprehensive MLOps stack designed to make biotech research more efficient.

🚀 Getting Started

To start using biotech-intel, follow these simple steps:

1. System Requirements

• Operating System: Windows, macOS, or Linux
• RAM: At least 8 GB
• Storage: Minimum of 2 GB free space
• Python Version: Python 3.7 or above
• Docker: Required to run the application in containers
• Internet Connection: Needed for downloading dependencies and accessing external data sources

2. Download & Install

Click the link below to visit the Releases page:

Download biotech-intel

On this page, you will find the latest version of biotech-intel. Look for the version that best suits your needs and download the appropriate file for your operating system. The downloaded file will be a compressed package.

How to Install

1. Extract the Package: Once the download is complete, locate the compressed file in your Downloads folder. Right-click the file and choose “Extract All…” to unpack the contents.

2. Navigate to the Directory:
   • Open a terminal or command prompt (Windows users can search for ‘cmd’ in the Start menu).
   • Use the cd command to change to the directory where you extracted the files. For example:

     cd path/to/biotech-intel
     

3. Set Up Docker:
   • If you haven’t installed Docker, follow the official instructions on the Docker website.
   • Run the following command to build the Docker containers:

     docker-compose up --build
     

4. Run the Application:
   • Once Docker has completed the setup, you can run the application with:

     docker-compose up
     

5. Access the Application: Open your web browser and go to http://localhost:8000 to access biotech-intel.

3. Key Features

• Semantic Search: Quickly find relevant research papers and information based on your queries.
• Knowledge Graphs: Visualize connections between research papers, companies, and funding sources.
• Multi-Agent System: Utilize advanced algorithms to gather various forms of data effectively.
• Full MLOps Stack: Manage your machine learning workflows with ease, from data ingestion to model deployment.

4. User Guide

For detailed instructions on how to use biotech-intel effectively, check the documentation included in the downloaded package. You will find information on:

• How to query the application
• Understanding the knowledge graphs
• Managing data sources

5. Support

If you face any issues or have questions, please refer to the issues section of our GitHub repository. You can create a new issue if your question isn’t answered there.

6. Additional Resources

• Documentation: Detailed user guides are included in the repository.
• Community: Join discussions and get support from other users on related platforms.

🏷️ Topics

This project focuses on various essential topics relevant to the biotech field:

• Artificial Intelligence
• Data Engineering
• Machine Learning Operations
• Knowledge Graphs
• Natural Language Processing

Take time to explore these topics, as they will enhance your experience with biotech-intel.

🔗 Conclusion

biotech-intel is designed to simplify and enhance your biotechnology research endeavors. By following these steps, you will be able to download, install, and run the software with ease. For ongoing updates and support, continue visiting our Releases page.

Download biotech-intel to start your journey in biotech research today!