Welcome to Agentic-RAG-Notebooks! This project allows you to explore cutting-edge agentic Retrieval-Augmented Generation (RAG) architectures and intelligent retrieval pipelines. Designed with everyday users in mind, this notebook-driven approach helps you understand advanced concepts without needing programming skills.
- User-Friendly Notebooks: Interactive guides to help you understand RAG architectures.
- Intelligent Retrieval Pipelines: Discover how to enhance data retrieval.
- Support for Multiple Technologies: Integrate with tools like MongoDB, Neo4j, and FAISS.
- Generative AI: Learn how to use advanced machine learning models effectively.
- No Programming Needed: Designed for anyone curious about intelligent systems.
Follow these simple steps to install and run the application on your computer.
- Operating System: Windows 10/11, macOS, or a recent version of Linux.
- Memory: At least 8 GB RAM.
- Disk Space: Approximately 1 GB available space.
- Software: Ensure you have Jupyter Notebook installed. For installation instructions, visit Jupyter's official site.
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Visit the Releases Page: Go to the Releases page to find the latest version.
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Select the Appropriate Version: Find the most recent version of the application. Ensure it matches your operating system.
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Download: Click on the download link for your platform. Save the file to your desired location on your computer.
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Open Jupyter Notebook: After downloading, open Jupyter Notebook on your system.
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Locate the Downloaded File: Navigate to the folder where you saved the downloaded file.
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Launch the Notebook: Click on the notebook file to open it in your browser. You can now start exploring the content!
Once you have opened the notebook, follow these guidelines:
- Read the Instructions: Each notebook contains step-by-step instructions to guide you through various topics.
- Interactive Features: Use the provided code cells to experiment with different configurations and observe their results.
- Explore Examples: The notebooks include examples that showcase the capabilities of RAG architectures and intelligent pipelines.
The notebooks are organized into sections:
- Introduction to Agentic RAG: An overview of what RAG systems are and how they function.
- Setup Instructions: Detailed steps to get everything running correctly.
- Advanced Topics: Delve into the specifics of integrating various technologies, including MongoDB and generative models.
- Data Retrieval Examples: Hands-on practices to see how the retrieval mechanisms work with real data.
If you want to deepen your understanding, consider these resources:
- Online Tutorials: Search for video tutorials on RAG and intelligent retrieval systems.
- Documentation: Read official documentation for technologies like MongoDB, FAISS, and Langchain.
- Community Forums: Participate in forums like Stack Overflow or dedicated AI discussions where you can ask questions and share knowledge.
For assistance, you can raise an issue on GitHub. Maintain a clear description of your problem, and we will do our best to assist you.
Don't forget to start your journey! Click below to download the application again.
Explore the innovative world of retrieval architectures and intelligent systems with Agentic-RAG-Notebooks. Your journey into advanced technology begins here!