tomohiro-owada/devrag
3.5
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DevRag is a lightweight Retrieval-Augmented Generation (RAG) system designed for developers using Claude Code, optimizing token usage and search efficiency.
Tools
Functions exposed to the LLM to take actions
search
Perform semantic vector search
index_markdown
Index a markdown file
list_documents
List all indexed documents
delete_document
Remove a document from the index
reindex_document
Re-index a document
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client