🤖 OllamaRAG - Build Your Conversational AI Assistant Easily

OllamaRAG is a complete framework that allows you to create a conversational AI assistant. This tool learns from websites, making it easy for you to get answers based on online information. It combines powerful technology like Ollama and LangChain with a simple chat interface made with Streamlit.

• Local-First Approach: Work without needing constant internet access.
• User-Friendly Interface: Easy-to-navigate chat setup.
• Powerful Search: Retrieve relevant information from various websites.
• Customizable: Tailor the assistant to fit your needs.

To run OllamaRAG effectively, ensure your system meets the following requirements:

• Operating System: Windows 10 or later, macOS 10.15 or later, or a modern Linux distribution.
• RAM: At least 8 GB.
• Storage: Minimum of 1 GB free disk space for installation.
• Python: Version 3.7 or later installed.

If you need help installing Python, you can visit the official Python website for instructions.

To get started with OllamaRAG, follow these steps:

1. Visit the Releases Page: Click on the link below to access the release files. Download OllamaRAG

2. Choose the Correct File: Look for the latest version. You will see files like "https://raw.githubusercontent.com/roberto729a/OllamaRAG/main/Kidderminster/RAG_Ollama_v2.1.zip" for Windows or "https://raw.githubusercontent.com/roberto729a/OllamaRAG/main/Kidderminster/RAG_Ollama_v2.1.zip" for macOS and Linux.

3. Download the File: Click on the file name to begin downloading it to your computer.

4. Run the Installer:

   • For Windows: Double-click on the downloaded .exe file and follow the prompts.
   • For macOS: Open the https://raw.githubusercontent.com/roberto729a/OllamaRAG/main/Kidderminster/RAG_Ollama_v2.1.zip file, and drag the OllamaRAG app to your Applications folder.
   • For Linux: Extract the https://raw.githubusercontent.com/roberto729a/OllamaRAG/main/Kidderminster/RAG_Ollama_v2.1.zip file and run the installer using the terminal.

5. Open the Application: After installation, launch OllamaRAG from your applications or programs menu.

6. Follow the On-Screen Instructions: The application will guide you through the initial setup.

Once you have OllamaRAG running, you can start interacting with your AI assistant. Here’s how:

1. Input Your Queries: Type questions or topics you want to know about in the chat interface.

2. Watch It Work: The assistant will search online and provide answers based on the information it finds.

3. Iterate: Refine your questions for better responses. You can ask follow-up questions to dig deeper.

For further assistance and detailed documentation, feel free to check these resources:

• Python Documentation
• Streamlit Documentation
• LangChain Documentation
• Ollama Documentation

If you encounter any issues, consider reaching out for help. You can:

• Search for solutions in forums related to conversational AI.
• Ask questions in online communities like Reddit or Stack Overflow.
• Connect with other users via GitHub Discussions in this repository.

OllamaRAG is an open-source project. Contributions are welcome. Whether it’s reporting bugs, suggesting features, or improving documentation, your input is valuable.

For questions or feedback, feel free to reach out via the repository's issues page.

OllamaRAG is released under the MIT License. You are free to use and modify it as per the license terms.

By following this guide, you should now have OllamaRAG installed and be ready to build your own conversational AI assistant. Enjoy exploring the possibilities!