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n8n Workflowcomplex

Local RAG AI Agent

Creator Cole Medin details a local agentic RAG AI workflow built with n8n. The system enables offline, secure Retrieval Augmented Generation by triggering file ingestion (PDF, CSV, text), extracting content, splitting text, and storing document data in PostgreSQL. It integrates SQL query capabilities for tabular data and uses Ollama for local LLM processing, alongside voice API tools like Cartesia. The free GitHub template offers a complete no-code solution for advanced document automation.

Integrations

AI AgentChat TriggerDocument LoaderEmbeddingsollamaOllamaLmollamaMemory (Postgres)Text Splitter

Tags

#local#ai#rag#agent
$69

One-time purchase

✓Instant download after purchase
✓Works with AI Agent
✓Advanced — full system with documentation
✓Lifetime access, no subscription
Delivered as .json workflow file

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