A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.
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A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.
Yes, local-RAG-backend is completely free to use with no usage limits on the free tier.
local-RAG-backend is listed under the devops category in the AgentForge MCP registry.
local-RAG-backend has a current uptime of 99.9% with an average response time of 0ms.
To connect local-RAG-backend, click the "Connect Agent" button on this page to get the configuration snippet. Add it to your MCP client (Claude Desktop, Cursor, or any MCP-compatible tool). Your AI agent will then have access to all of local-RAG-backend's tools via the Model Context Protocol.