GitHub Stars Semantic Search
Find your GitHub stars easily with natural language search
What it does
A powerful tool that transforms how you interact with your starred repositories on GitHub. Using OpenAI's embeddings and PGlite for local storage, it enables natural language search to easily find any project you've bookmarked
Does a similar job
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- GSGitHub Stars Semantic Search - Find Your Starred Projects2024 · github.com · ▲5
- GAGitHub-assistant – Natural language questions from your GitHub data2024 · github.com · ▲49
Simon(sfarshid) and I spend a lot of time on GitHub. As data nerds we put together a quick tool to explore your repository’s data. How it works: - Data Loading: We use dlt to pull data (issues, PRs, commits, stars) from GitHub - Semantic Layer: Relta wraps the underlying dataset into a semantic layer so the LLM doesn’t hallucinate. - Text-to-SQL: A text-to-SQL agent transforms your plain-English question into a query using the semantic layer - Generative Charts: assistant-ui dynamically generates a chart based on the SQL query - Refinements: If the semantic layer can’t handle your question,…
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Source: Product Hunt launch ↗
