{"product_id":"ai-knowledge-base-automate-with-ollama-pgvector-telegram","title":"AI Knowledge Base: Automate with Ollama, PGVector \u0026 Telegram","description":"\u003cp\u003eTransform your documents into an intelligent, AI-powered knowledge base that answers questions instantly through Telegram. This advanced n8n workflow combines Ollama, PGVector, and Retrieval-Augmented Generation (RAG) to create a searchable repository from your uploaded files, delivering contextual AI responses in seconds.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this workflow does\u003c\/h3\u003e\n\u003cp\u003eUpload documents through a simple n8n form interface and watch as your files are automatically processed into a semantic knowledge base. The workflow extracts content from PDFs, JSON, CSV, XLS, XLSX, and plain text files, then intelligently chunks the data for optimal retrieval. Using the nomic-embed-text embedding model, it generates vector embeddings stored in PostgreSQL with PGVector extension for lightning-fast semantic search.\u003c\/p\u003e\n\n\u003cp\u003eAsk questions directly through your Telegram bot, and the system performs semantic similarity searches to find the most relevant document context. Llama 3 running via Ollama then generates accurate, contextual responses based on your actual documents, delivering personalized answers straight to your Telegram chat.\u003c\/p\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePersonal knowledge management:\u003c\/strong\u003e Create a searchable library of research papers, notes, and documents\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTeam documentation:\u003c\/strong\u003e Build an AI assistant for company policies, procedures, and manuals\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCustomer support:\u003c\/strong\u003e Instant answers from product documentation and FAQ databases\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEducational resources:\u003c\/strong\u003e Transform course materials into an interactive learning assistant\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResearch automation:\u003c\/strong\u003e Query large document collections for specific information\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cp\u003eBuilt with essential n8n nodes including Form, Telegram, If, Switch, No Op, and Sticky Note components. Requires Ollama with Llama 3 model, PostgreSQL with PGVector extension, and Telegram Bot API credentials. Optional Cloudflare Tunnel or ngrok setup enables public access to your knowledge base system.\u003c\/p\u003e\n\n\u003cp\u003eThis workflow leverages cutting-edge RAG technology to ensure responses are grounded in your actual documents, eliminating AI hallucinations while providing accurate, context-aware answers from your personal knowledge repository.\u003c\/p\u003e","brand":"N8N Commerce","offers":[{"title":"Default Title","offer_id":45511978385587,"sku":"N8N-15707","price":11.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0749\/6279\/6723\/files\/zuUTiEqZ_dCBCS9RcmVSE_8f0268dcfa9649ce8db51d853354a1bf.jpg?v=1778922475","url":"https:\/\/buyflowscripts.com\/products\/ai-knowledge-base-automate-with-ollama-pgvector-telegram","provider":"N8N Commerce","version":"1.0","type":"link"}