Index docs and source trees into structure-aware search so you can answer targeted questions quickly without a vector database or brittle grep sprawl.
Scanned 6/2/2026
Install to Claude Code
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---
name: "Search large codebases and structured document trees without embeddings before building heavier retrieval stacks with TreeSearch"
slug: "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."
github_stars: 189
verification: "security_reviewed"
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
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:
- [](requirements.txt)
- **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](https://agentskillexchange.com/skills/search-large-codebases-and-structured-document-trees-without-embeddings-before-building-heavier-retrieval-stacks-with-treesearch/)
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