W

Wandering Rag

A CLI tool for retrieving personal data from sources such as Notion and Obsidian, storing it in Qdrant, and providing query services through the MCP server
2.5 points
22

What is Wandering RAG?

Wandering RAG is a tool that helps you quickly find information from your personal notes and documents. It can automatically organize the content from platforms like Notion and Obsidian, allowing you to get answers by asking questions in natural language.

How to use Wandering RAG?

Simply install the tool and configure your note paths, and it will automatically index the content. Then you can ask questions directly through the command line or integrate it into applications like Claude Desktop.

Use cases

It is especially useful when you need to quickly find information scattered in different notes, such as personal life records like the date of pet adoption or the time of the most recent cat litter change.

Main features

Multi - platform supportSupports obtaining data from multiple note platforms such as Notion, Obsidian, and Apple Notes
Local storageUses the Qdrant vector database to store data locally to protect privacy
MCP protocol supportProvides services through the Model Context Protocol and can be integrated with other AI tools

Advantages and limitations

Advantages
Runs completely locally to protect the privacy of personal data
Supports multiple commonly used note platforms
Provides fast and accurate query responses
Can be seamlessly integrated with AI tools such as Claude
Limitations
Requires manual configuration of note paths
The initial indexing may take a long time
The Notion function is currently under development (WIP)

How to use

Install the tool
Use uv pip to install the tool into your Python environment
Start the Qdrant service
Use docker - compose to start the Qdrant vector database service
Configure the environment
Copy .env.example to the .env file and configure your note paths
Index the content
Run the indexing command to organize your note content
Start the MCP service
Run the MCP server so that other applications can query

Usage examples

Query pet informationFind the date of pet adoption and the most recent care records you've recorded
Find meeting recordsQuickly find the key points discussed in a project meeting last week

Frequently Asked Questions

Do I need programming knowledge to use this tool?
Is my data secure?
Why does the Notion function show WIP (under development)?

Related resources

Qdrant official documentation
Documentation for using the Qdrant vector database
MCP protocol description
Technical specifications of the Model Context Protocol
Obsidian official website
Official website of the Obsidian note - taking tool
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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