🔍 Exploring Haystack by Deepset

📚 Table of Contents

• Overview
• Features
• Installation
• Usage
• Contributing
• Troubleshooting
• License

🌟 Overview

This project explores the capabilities of Haystack, an open-source framework for building search systems. We dive into various components and use cases to understand its potential in creating powerful, AI-driven search solutions.

🚀 Features

• Document retrieval
• Question answering
• Semantic search
• And more!

🛠 Installation

1. Clone the repository:

    git clone https://github.com/90barricade93/haystack-explore

2. Navigate to the project directory:

cd haystack-explore

Set up a virtual environment:

    python3 -m venv haystack_env
    source haystack_env/bin/activate

Install dependencies:

    pip install -r requirements.txt

Set up API keys:

Create a `.env` file in the project root and add your API keys for any services you plan to use (e.g., OpenAI, Elasticsearch).

🖥 Usage

Run any of the Python scripts to explore different Haystack features:

python3 first_rag_pipeline.py
python3 embedding_metadata_for_improved_retrieval.py
python3 extractive_qa_pipeline.py
python3 metadata_filtering.py
python3 file_type_preprocessing_index_pipeline.py
python3 serializing_pipelines.py

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

🔧 Troubleshooting

If you encounter any issues, please check The haystack tutorial or open an issue.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Thank you for exploring Haystack with me!

Thank you for visiting my repository! I appreciate your time and interest in my project. If you have any feedback or suggestions, please feel free to reach out. I’m always eager to learn and improve! Your interest and feedback are greatly appreciated. Let's discover the power of AI-driven search together!

  Raymond de Vries  

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