A CLI tool for searching markdown knowledge bases using hybrid retrieval: - BM25 full-text search via SQLite FTS5 - Vector semantic search via sqlite-vec + Ollama embeddings - LLM re-ranking with qwen3-reranker (logprobs-based scoring) - Reciprocal Rank Fusion with weighted queries and position-aware blending Features: - `qmd add .` - Index markdown files in current directory - `qmd embed` - Generate vector embeddings - `qmd search` - BM25 full-text search - `qmd vsearch` - Vector similarity search - `qmd query` - Hybrid search with query expansion + reranking 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
48 lines
1012 B
JSON
48 lines
1012 B
JSON
{
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"name": "qmd",
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"version": "1.0.0",
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"description": "Quick Markdown Search - Full-text and vector search for markdown files",
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"type": "module",
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"bin": {
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"qmd": "./qmd"
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},
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"scripts": {
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"qmd": "bun qmd.ts",
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"index": "bun qmd.ts index",
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"vector": "bun qmd.ts vector",
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"search": "bun qmd.ts search",
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"vsearch": "bun qmd.ts vsearch",
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"rerank": "bun qmd.ts rerank",
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"link": "bun link"
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},
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"dependencies": {
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"sqlite-vec": "^0.1.7-alpha.2"
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},
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"optionalDependencies": {
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"sqlite-vec-darwin-arm64": "^0.1.7-alpha.2",
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"sqlite-vec-darwin-x64": "^0.1.7-alpha.2",
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"sqlite-vec-linux-x64": "^0.1.7-alpha.2",
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"sqlite-vec-win32-x64": "^0.1.7-alpha.2"
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},
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"devDependencies": {
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"@types/bun": "latest"
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},
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"peerDependencies": {
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"typescript": "^5"
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},
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"engines": {
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"bun": ">=1.0.0"
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},
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"keywords": [
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"markdown",
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"search",
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"fts",
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"vector",
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"sqlite",
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"bm25",
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"embeddings",
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"ollama"
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],
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"license": "MIT"
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}
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