ask-hormozi

把文本或转录构建成带来源引用的可语义检索问答索引。

把一堆文本或转录（比如书籍、文章、播客的 .vtt）变成可语义检索的问答索引，查询时按相关度返回答案并带上来源引用。适合把私人或大量资料做成可搜索的知识库，用来快速查事实、出处或做笔记检索。本地优先、保留出处，方便把内容变成可引用且可验证的问答资源。

# ask-hormozi

Build a searchable, cited Q&A index from any text corpus. Query with semantic relevance scoring and automatic source citations.

## What It Does

**ask-hormozi** is a local-first citation tool that turns books, podcasts, articles, and transcripts into a searchable knowledge base. You provide text files (or `.vtt` video transcripts), build an index, then query it with natural language. Every answer comes with the exact source, page/chunk, and excerpt.

- No API calls, no vendor lock-in, no rate limits
- TF-IDF semantic search finds the most relevant passages
- Automatic citations: every result shows source file, type, and location
- Plain Python + scikit-learn, runs entirely of