Haystack Search & Elasticsearch Index

This project focuses on scraping a website containing Q&A data and utilizing either Haystack or Elasticsearch index to search for answers and return the best possible responses.

Technologies Used

• API
• Python
• Google Colab
• Haystack
• Elasticsearch

Introduction

The project involves web scraping a targeted website to extract valuable Q&A data. Subsequently, we employ either Haystack or Elasticsearch to index this data for efficient search operations.

Setup and Installation

1. Clone the Repository:

   git clone <repository_url>
   cd <repository_directory>
   

2. Install Dependencies:

   pip install -r requirements.txt
   

3. Haystack Setup (or Elasticsearch Setup):

   • For Haystack setup, follow the instructions in the Haystack documentation.
   • For Elasticsearch setup, follow the Elasticsearch documentation.

4. Run the Project:

   • Execute the main script to scrape the website and perform searches using the chosen technology. python main.py

Usage

1. Scraping:

   • Run the web scraping script to extract Q&A data from the target website.

2. Indexing:

   • Use Haystack or Elasticsearch to index the scraped Q&A data for efficient searching.

3. Searching:

   • Utilize the search capabilities of Haystack or Elasticsearch to search for answers within the indexed data.

Contributing

If you wish to contribute to this project, please follow these steps:

1. Fork the repository and create a new branch.
2. Make your changes and thoroughly test them.
3. Create a pull request, explaining the changes you have made.

License

This project is licensed under the MIT License.