Add a document to the RAG Research database for semantic search
/plugin marketplace add docutray/docutray-claude-code-plugins/plugin install rag-research@docutray-plugins<filepath># Add Document to RAG Research
Index a document into the RAG Research database. The document will be chunked, embedded using FastEmbed (BAAI/bge-small-en-v1.5), and stored in Qdrant for semantic search.
## Supported File Types
- **PDF** (.pdf) - Extracted using Mistral OCR API (with pypdf fallback)
- **Markdown** (.md, .markdown) - Parsed directly
- **Text** (.txt, .rst) - Read as plain text
- **JSON** (.json) - Formatted and indexed
## Instructions
1. Verify the file exists and is a supported type
2. Run the add command: `uv run --directory ${CLAUDE_PLUGIN_ROOT} rag-research --project...