Create an AI knowledge base assistant using Ollama, PGVector and Telegram
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 22 nodes and runs on Telegram events (message) (plus 1 other trigger). Along the way it connects Postgres PGVector Store, Embeddings Ollama, Ollama Chat Model and Telegram.
How it runs
Trigger: On Telegram events (message) (plus 1 other trigger).
- Question and Answer Chain: answers questions over your documents (RAG), with model: Ollama Chat Model; retriever: Vector Store Retriever
- If: checks a condition and branches into true / false
- Send a text message (Telegram): uses Telegram
- Form (n8n Form): shows the next form page
- Form (n8n Form): shows the next form page
- Switch: routes items into 5 branches
- Postgres PGVector Store: stores documents in the Postgres PGVector Store vector store, with embeddings: Embeddings Ollama; document loader: Default Data Loader
- Extract from File: extracts data from a file (pdf)
- Extract from File: extracts data from a file (xls)
- Extract from File: extracts data from a file (xlsx)
…plus 2 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (14)
- n8n Form Trigger
n8n-nodes-base.formTrigger - Postgres PGVector Store
@n8n/n8n-nodes-langchain.vectorStorePGVector - Embeddings Ollama
@n8n/n8n-nodes-langchain.embeddingsOllama - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Question and Answer Chain
@n8n/n8n-nodes-langchain.chainRetrievalQa - Ollama Chat Model
@n8n/n8n-nodes-langchain.lmChatOllama - Vector Store Retriever
@n8n/n8n-nodes-langchain.retrieverVectorStore - Extract from File
n8n-nodes-base.extractFromFile - If
n8n-nodes-base.if - n8n Form
n8n-nodes-base.form - Switch
n8n-nodes-base.switch - No Operation, do nothing
n8n-nodes-base.noOp - Telegram Trigger
n8n-nodes-base.telegramTrigger - Telegram
n8n-nodes-base.telegram
From the author
This workflow automatically converts uploaded documents and text into an AI-powered searchable knowledge base using semantic vector embeddings and Retrieval-Augmented Generation (RAG). Users can upload PDFs, JSON, CSV, XLS, XLSX, or raw text files, which are…