RAG Memory
1-Click ReadyProvides a knowledge graph-enhanced retrieval system that combines vector search with graph-based re...
Tools
createEntities
<description> Create multiple new entities in the knowledge graph with comprehensive metadata and observations. **Essential for building the foundational structure of your knowledge representation.** ...
addObservations
<description> Add new observations to existing entities to continuously enrich their context, evidence, and understanding. **Essential for keeping your knowledge graph current and comprehensive.** Obs...
embedAllEntities
<description> Generate semantic vector embeddings for all entities in the knowledge graph to enable semantic search. **Essential for upgrading your knowledge graph to use semantic vector search instea...
getDetailedContext
<description> Retrieve comprehensive detailed context for a specific chunk, including the full text and surrounding content. **Essential companion to hybridSearch** - use this to get complete context ...
storeDocument
<description> Store a document in the system for later processing. **Simple document storage without automatic extraction.** AI agents can then choose which processing steps to apply using other tools...
How to Install RAG Memory
Install RAG Memory MCP server with one click through FastMCP. Choose your preferred AI development tool below:
Claude Desktop
Click "Claude Desktop" in Quick Start
Cursor IDE
Click "Cursor IDE" in Quick Start
VS Code
Click "VS Code" in Quick Start
RAG Memory supports one-click installation — no manual JSON configuration needed.
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The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
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Make sure Claude Code is installed:
Visit Claude Code documentation for installation instructions.
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