GitHub Stars Semantic Search
Find your GitHub stars easily with natural language search
Listed in categories:
Developer ToolsOpen SourceGitHub
Description
GitHub Stars Semantic Search is a powerful tool that transforms how you interact with your starred repositories. It enables natural language search through your GitHub stars, making it easier than ever to find that project you bookmarked months ago.
How to use GitHub Stars Semantic Search?
To use the GitHub Stars Semantic Search, clone the repository, install the dependencies, and start the development server. Enter your GitHub Personal Access Token and OpenAI API Key in the application to begin indexing your starred repositories. Use natural language queries to search through your stars and view matching repositories.
Core features of GitHub Stars Semantic Search:
1️⃣
Secure Authentication with GitHub personal access token integration
2️⃣
AI-Powered Semantic Search using OpenAI's advanced embeddings
3️⃣
Efficient Local Storage using PGlite
4️⃣
Fast Indexing of starred repositories
5️⃣
Modern UI with a clean responsive interface
Why could be used GitHub Stars Semantic Search?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Searching for specific projects among your starred repositories using natural language queries | ✅ | |
| # 2 | Finding relevant repositories based on keywords or topics | ✅ | |
| # 3 | Accessing repository descriptions and metadata quickly | ✅ | |
Who developed GitHub Stars Semantic Search?
Luis Reinoso is the creator of GitHub Stars Semantic Search, focusing on enhancing user interaction with GitHub repositories through innovative search capabilities.