07 - Building a 100% Free On-Prem RAG System with Open Source LLMs, Embeddings, Pinecone, and n8n

Building a 100% Free On-Prem RAG System with Open Source LLMs, Embeddings, Pinecone, and n8n After the last post on building a financial statement analyzer using OpenAI and n8n, many readers reached out with a common question: “Can I build a similar RAG system without relying on OpenAI APIs or paid cloud services?” The answer is — yes, absolutely. In this tutorial, I’ll walk you through building a complete Retrieval-Augmented Generation (RAG) system entirely on-prem , using free and open-source tools . No API keys, no vendor lock-in, and no code required. With the help of: n8n for orchestrating your workflow Pinecone as a vector database (free-tier available) Ollama for running open-source LLMs and embedding models locally Windows Command Prompt for setup and automation You’ll create a fully functional RAG pipeline that: Accepts documents Converts them to embeddings Stores and retrieves relevant context Answers user queries intelligently — all fro...