在构建更重的检索堆栈之前，使用TreeSearch在大型代码库和结构化文档树中进行搜索，无需嵌入层
Index docs and source trees into structure-aware search so you can answer targeted questions quickly without a vector database or brittle grep sprawl.
Prerequisites
TreeSearch Python package or Rust CLI, local codebase or document corpus, and optional SQLite-backed index storage
Installation
Use the upstream install or setup path that matches your environment:
- pip install -U pytreesearch
- brew tap shibing624/tap
- brew install treesearch
- cargo install treesearch
Requirements and caveats from upstream:
-
- TreeSearch is a structure-aware document retrieval library. No vector embeddings. No chunk splitting. SQLite FTS5 keyword matching over document tree structures. Supports Markdown, plain text, code files (Python A...
- ### Python Library
Basic usage or getting-started notes:
- bash
- Then use it in code:
- from treesearch import TreeSearch
- Source: https://github.com/1991513ccie-png/skills
- Extracted from upstream docs: https://raw.githubusercontent.com/shibing624/TreeSearch/HEAD/README.md
Documentation
- https://github.com/1991513ccie-png/skills
