Search large codebases and structured document trees without embeddings before building heavier retrieval stacks with TreeSearch

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/shibing624/TreeSearch

• Extracted from upstream docs: https://raw.githubusercontent.com/shibing624/TreeSearch/HEAD/README.md

Documentation

• https://github.com/shibing624/TreeSearch

Source

• Agent Skill Exchange