Deploying a Complete RAG Ecosystem with a Single Command: My Ultimate Docker Stack
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A comprehensive Docker Compose stack that deploys a complete RAG (Retrieval-Augmented Generation) infrastructure with a single command. The setup includes Ollama for local LLM execution, Qdrant for vector search, MongoDB for document storage, Redis for caching, Neo4j for knowledge graphs, Keycloak for authentication, and n8n for workflow automation. The stack can be configured for CPU-only, GPU-accelerated, or external API usage, with automated setup scripts that handle dependencies and provide instant access to all services. Neo4j integration enables advanced relationship mapping between documents and entities, enriching context beyond traditional vector search.
Table of contents
Get Sebastian Torralba’s stories in your inboxUp and Running in Under 5 MinutesBeyond the Basics: Why Neo4j in a RAG Stack?Simplified Management and TroubleshootingConclusion: Your Personal RAG LabSort: