Wscats/minirag
用最少的代码实现完整的 RAG 引擎，零依赖，纯 JavaScript，详细中文注释，适合学习和理解 RAG 原理。
Implements retrieval-augmented generation through TF-IDF vectorization and cosine similarity search without external embedding APIs, orchestrating document chunking, vector storage, and prompt composition to invoke CodeBuddy CLI as the LLM backbone. The architecture separates indexing (text tokenization, vocabulary building, sparse vector generation) from querying (similarity ranking, context retrieval, prompt construction), making it suitable for Node.js environments requiring offline or lightweight RAG workflows.
Stars
5
Forks
2
Language
JavaScript
License
MIT
Category
Last pushed
Mar 15, 2026
Commits (30d)
0
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