Implement JS entity extraction from text

[Aarchi-07]

• Converted Python entity extraction code to JavaScript.
• Added functions to extract phone numbers, URLs, and directions info.
• Integrated prompts with AI model to return structured lists of entities.

[gemini-code-assist[bot]]

Summary of Changes

Hello @Aarchi-07, I'm Gemini Code Assist[^1]! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new JavaScript-based entity extraction module, porting functionality previously available in Python. It leverages the Gemini AI model to intelligently identify and structure various entities, such as phone numbers, URLs, and transportation details, from unstructured text, providing a robust solution for data parsing.

Highlights

• JavaScript Conversion: The existing Python entity extraction logic has been successfully converted into JavaScript, enabling broader application of the functionality.
• New Entity Extraction Capabilities: New functions have been introduced to specifically extract phone numbers, URLs, and directional information from textual content.
• AI Model Integration: The system now integrates prompts with an AI model to ensure that extracted entities are returned in structured list formats, improving data usability.

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[andycandy]

Hello @Aarchi-07 , thank you for your contribution! I believe it would be best to port the notebooks from the example folder into example-js for better organization.

[andycandy]

Make sure to also create a Readme file for that newly created folder, although I would suggest waiting for Giom to approve the creation for a new folder.

cc @Giom-V

[Aarchi-07]

Hello @andycandy , thanks for your suggestion! Alright I'll wait for the approval.