weichen-lin / stargazer

GitHub Stars Integration and Natural Language Search System

Introduction

Welcome to our GitHub Stars Integration & Natural Language Search! Our goal is to seamlessly integrate GitHub Stars project information and offer an intuitive natural language search experience. This system employs cutting-edge technologies for crawling, processing, and presenting GitHub project data effectively.

Data Handling

Regular GitHub Stars Crawling

We regularly crawl user GitHub Stars projects to keep our system up-to-date with the latest information.

Readme Data Extraction

Valuable information is extracted from Readme files, serving as a rich source of project details and documentation.

Processing

GPT Model for Readme Summaries

GPT (Generative Pre-trained Transformer) models generate concise Readme file summaries, providing users with quick project overviews.

Embedding Algorithm for Vectors

To enhance search capabilities, an embedding algorithm converts summaries into vectors, stored in a database for efficient retrieval.

User Interaction

Natural Language Queries

Users interact with our system using natural language queries for an intuitive and user-friendly search experience.

Vector-based Search

Our system employs vector-based search to match user intentions with the most relevant projects, allowing a nuanced understanding of project content.

Results Presentation

The system returns the most relevant project results, providing a list that closely aligns with the user's intent.

Getting Started

To explore GitHub Stars projects in a new way, visit our system. Enjoy the convenience of natural language searching and discover projects aligned with your interests effortlessly.

Feel free to contribute, provide feedback, or report issues. Happy exploring!