Rag Memory FAQs

Question 1

What is Rag Memory?

Accepted Answer

Rag Memory is an advanced MCP server designed for RAG-enabled memory. It leverages a knowledge graph with vector search capabilities for intelligent memory management.

Question 2

What are the key features of Rag Memory?

Accepted Answer

Key features include Knowledge Graph Memory, Vector Search, Document Processing, Hybrid Search, and SQLite Backend using sqlite-vec.

Question 3

What is the purpose of Vector Search?

Accepted Answer

Vector Search enables semantic similarity search using sentence transformers, allowing you to find information based on meaning rather than just keywords.

Question 4

How do I configure Rag Memory with Claude Desktop or VS Code?

Accepted Answer

You can configure your MCP clients by adding the provided JSON configuration to your `claude_desktop_config.json`, `mcp.json` (Cursor), or User Settings (JSON) file in VS Code.

Question 5

What are some use cases for Rag Memory?

Accepted Answer

Ideal use cases include research and documentation, knowledge base construction, conversational memory, content analysis, and intelligent assistance.

Rag Memory

Key Features

Use Cases

Rag Memory

Key Features

Use Cases