DevRag is a lightweight RAG system for Claude Code that enables natural language search of markdown files using multilingual-e5-small embeddings. It helps developers quickly find relevant information without reading entire documents, saving tokens and time. The system connects to local markdown files and integrates with Claude Code for efficient document retrieval.
git clone https://github.com/tomohiro-owada/devrag.gitDevRag is a lightweight RAG system for Claude Code that enables natural language search of markdown files using multilingual-e5-small embeddings. It helps developers quickly find relevant information without reading entire documents, saving tokens and time. The system connects to local markdown files and integrates with Claude Code for efficient document retrieval.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/tomohiro-owada/devragCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I'm using DevRag to search my [COMPANY] documentation. Please find information about [TOPIC] in the following markdown files: [FILE1.md, FILE2.md, FILE3.md]. Provide a concise summary with key points and relevant code snippets if available.
# Summary of [TOPIC] in [COMPANY] Documentation
## Key Points
- [TOPIC] is a critical component in [COMPANY]'s [INDUSTRY] workflows.
- It is primarily used for [PRIMARY PURPOSE] but can also be adapted for [SECONDARY PURPOSE].
- The system integrates with [RELEVANT TOOLS] for enhanced functionality.
## Relevant Code Snippets
```python
# Example code snippet from [FILE1.md]
def example_function():
# Implementation details
pass
```
## Additional Resources
- [FILE2.md] (Lines 45-60): Detailed explanation of [TOPIC] configuration
- [FILE3.md] (Lines 120-135): Troubleshooting common issuesPutting Engineers in the Fast Lane
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