Load Git Repository Code into LlamaIndex for RAG
GPT Repository Loader reads local Git repositories and converts them into LlamaIndex documents with optional preamble text for AI processing pipelines.
Why it matters
Ingest and prepare entire Git repository codebases for retrieval-augmented generation (RAG) workflows by extracting repository contents and loading them as structured documents into LlamaIndex.
Outcomes
What it gets done
Read files from local Git repository paths
Extract repository contents into document format
Add custom preamble text to document beginnings
Load processed documents into LlamaIndex for indexing
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/li-reader-readers-gpt-repo | bash Overview
GPT Repository Loader
GPT Repository Loader is a LlamaIndex reader integration that loads local Git repositories and converts their contents into LlamaIndex Document objects. It allows you to specify a preamble string that gets prepended to each document, making it easy to add context or instructions before the repository content. Use this loader when building AI applications that need to process or analyze codebases stored in local Git repositories. It is valuable for creating code search systems, documentation generators, or retrieval-augmented generation pipelines that require structured access to repository contents through LlamaIndex.
What it does
GPT Repository Loader is a LlamaIndex reader that loads the contents of local Git repositories into LlamaIndex documents. It is an adaptation of the original gpt-repository-loader project by mpoon, allowing you to load repository contents as documents with optional preamble text that appears at the beginning of each document.
When to use - and when NOT to
Use this loader when you need to feed local Git repository contents into LlamaIndex-based AI applications, such as code analysis tools, documentation generators, or retrieval-augmented generation systems that need to understand codebases.
Do not use this loader if you need to process remote repositories directly without cloning them first, or if you require real-time synchronization with repository changes.
Inputs and outputs
You provide a file system path to a local Git repository (repo_path) and an optional preamble string (preamble_str) that will be prepended to the beginning of each document. The loader returns a collection of LlamaIndex Document objects containing the repository contents, ready for indexing, querying, or other LlamaIndex operations.
Integrations
This loader integrates with LlamaIndex as a data reader component. It is designed specifically to load data into the LlamaIndex framework for downstream processing, indexing, and retrieval operations.
Who it's for
This tool serves developers building AI applications that need to understand or process codebases, including those creating code search engines, automated documentation systems, or AI coding assistants.
Installation:
pip install llama-index-readers-gpt-repo
Usage example:
from llama_index.readers.gpt_repo import GPTRepoReader
loader = GPTRepoReader()
documents = loader.load_data(
repo_path="/path/to/git/repo",
preamble_str="<text to put at beginning of Document>",
)
Source README
GPT Repository Loader
pip install llama-index-readers-gpt-repo
This loader is an adaptation of https://github.com/mpoon/gpt-repository-loader
to LlamaIndex. Full credit goes to mpoon for coming up with this!
Usage
To use this loader, you need to pass in a path to a local Git repository
from llama_index.readers.gpt_repo import GPTRepoReader
loader = GPTRepoReader()
documents = loader.load_data(
repo_path="/path/to/git/repo",
preamble_str="<text to put at beginning of Document>",
)
This loader is designed to be used as a way to load data into LlamaIndex.
FAQ
Common questions
Discussion
Questions & comments · 0
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