---
title: "Search large codebases and structured document trees without embeddings before building heavier retrieval stacks with TreeSearch"
description: "Index docs and source trees into structure-aware search so you can answer targeted questions quickly without a vector database or brittle grep sprawl."
verification: "listed"
source: "https://github.com/shibing624/TreeSearch"
author: "shibing624"
publisher_type: "individual"
category:
  - "Developer Tools"
framework:
  - "Multi-Framework"
tool_ecosystem:
  github_repo: "shibing624/TreeSearch"
  github_stars: 189
---

# 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

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
Install TreeSearch from the Python package or Rust/Homebrew path documented upstream, point it at the target folders or files, then index and query the corpus with the CLI or Python API.
```

## Documentation

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

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/search-large-codebases-and-structured-document-trees-without-embeddings-before-building-heavier-retrieval-stacks-with-treesearch/)