Skills

local, multimodal rag agent for claude codeFrom the repository description

Install

npx -y skills add fa-ina-tic/memvid-rag --skill skills

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SKILL.md

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memvid-rag

A simple local RAG (Retrieval-Augmented Generation) system based on memvid.

Overview

This plugin provides semantic search capabilities for PDF documents using vector embeddings. It enables you to index documents into a local knowledge base and perform semantic queries to retrieve relevant information.

Requirements

Python: memvid-sdk installed (pip install memvid-sdk)
OpenAI API Key: Required for vector embeddings. Set OPENAI_API_KEY environment variable before indexing.
Document parsing libraries: Additional Python libraries are needed depending on the file format:
- PDF: pypdf (uv add pypdf)
- DOCX: python-docx (uv add python-docx)
- XLSX: openpyxl (uv add openpyxl)

Commands

Command	Description
`/memvid-rag:create`	Create a new `knowledge.mv2` index file
`/memvid-rag:index <path>`	Index PDF files into the knowledge base
`/memvid-rag:search <query>`	Search indexed documents semantically
`/memvid-rag:status`	Show current status of the RAG system

Workflow

Create Index: Run /memvid-rag:create to initialize the knowledge base (if not exists)
Index Documents: Use /memvid-rag:index <pdf_path> to add documents
Search: Query with /memvid-rag:search <your question>

Search Options

The search command supports optional parameters:

--k=<number>: Maximum results to return (default: 5)
--mode=<lex|sem|auto>: Search mode (default: auto)
--snippet_chars=<number>: Max characters per snippet (default: 240)
--min_relevancy=<float>: Minimum relevancy threshold
--adaptive=<true|false>: Enable adaptive result count

Example Usage

/memvid-rag:index ./documents/research-paper.pdf
/memvid-rag:search What are the key findings about semantic search?
/memvid-rag:search How does RAG improve LLM accuracy? --k=10 --mode=sem

Data Storage

All indexed data is stored locally in knowledge.mv2 file in the current working directory.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.