AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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Generic markdown collection MCP server with FTS5 + semantic search, frontmatter-aware indexing, and incremental reindexing
翻譯準備中
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Generic markdown vault MCP with hybrid search
• Hybrid search: SQLite FTS5 keyword search (BM25, porter stemming) and semantic search (FastEmbed, Ollama, OpenAI, or Voyage AI embeddings, plus any OpenAI-compatible endpoint via OPENAI_BASE_URL), fused with Reciprocal Rank Fusion; diversity-aware ranking returns sentence-scale snippets with full-section recovery via read(path, section=heading). See the Embeddings guide, including the recipe for OpenAI-compatible endpoints.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
Generic markdown vault MCP with hybrid search
• Hybrid search: SQLite FTS5 keyword search (BM25, porter stemming) and semantic search (FastEmbed, Ollama, OpenAI, or Voyage AI embeddings, plus any OpenAI-compatible endpoint via OPENAI_BASE_URL), fused with Reciprocal Rank Fusion; diversity-aware ranking returns sentence-scale snippets with full-section recovery via read(path, section=heading). See the Embeddings guide, including the recipe for OpenAI-compatible endpoints.檢視完整 README ↗