{"workflow":{"id":14782,"name":"Build a local RAG chatbot with Ollama, Qwen, BGE-M3 and Postgres PGVector","views":0,"recentViews":0,"totalViews":0,"createdAt":"2026-04-06T11:13:25.343Z","description":"Build a fully local RAG chatbot using Ollama that works without tool calling — ideal for smaller open-source models like Qwen that don't support native function calls. This template lets you run a private, self-hosted AI assistant with retrieval-augmented generation using only your own hardware.\n\n## How it works\n\n1. A **Webhook** receives the user's chat message\n2. A **small classifier LLM** (Qwen 7B) analyzes the input and decides: is this small talk, or a real question that needs the knowledge base?\n3. For **small talk**, a dedicated AI agent responds conversationally with chat memory\n4. For **real questions**, the classifier generates focused sub-queries, which are sent through a **loop-based RAG pipeline**:\n   - Each sub-query is embedded using **BGE-M3** and matched against a **Postgres PGVector** store\n   - Results are filtered by a relevance score threshold (&gt;0.4)\n   - Chunks are aggregated and deduplicated across all sub-queries\n5. An **Answer Generator agent** (Qwen 14B) produces a sourced answer using a strict 3-step format: short answer → sources → follow-up question\n6. Both paths use **Postgres-backed chat memory** for multi-turn conversations\n7. A post-processing step removes `&lt;think&gt;` tags that some reasoning models produce\n\n## Set up steps\n\n1. **Install Ollama** and pull the required models:\n   - `ollama pull qwen2.5:7b` (classifier + small talk)\n   - `ollama pull qwen3:14b` (answer generation)\n   - `ollama pull bge-m3` (embeddings)\n2. **Set up PostgreSQL** with the `pgvector` extension enabled\n3. **Create your vector store** — ingest your documents into the PGVector store using BGE-M3 embeddings (you can use n8n's built-in document loaders for this)\n4. **Configure credentials** in n8n:\n   - Ollama connection (default: `http://localhost:11434`)\n   - PostgreSQL connection for both chat memory and vector store\n5. **Customize the webhook path** and connect it to your frontend or API client\n6. **Optional:** Adjust the relevance score threshold, swap models for larger/smaller ones, or modify the system prompts to match your use case\n","workflow":{"id":"hiXXL4p3oGe1vagC","meta":{"instanceId":"7dfc72c0bc7d09e873a86bc40d9eda63ac82c41b6681e93257e62ceb9f6c69ad"},"name":"RAG Chatbot with Small Local LLMs (Ollama) — No Tool Calling","tags":[],"nodes":[{"id":"81fd20e5-7618-49c7-9e4e-d48209237e1b","name":"Sticky Note — Overview","type":"n8n-nodes-base.stickyNote","position":[-2528,560],"parameters":{"width":700,"height":852,"content":"## RAG Chatbot with Small Local LLMs (Ollama)\n\nA full RAG chatbot that runs entirely on local hardware using Ollama — no cloud APIs, no tool calling required. A lightweight 7B model classifies intent and plans retrieval; a 14B model synthesizes sourced answers. This **Workflow RAG** approach moves all retrieval logic into deterministic n8n nodes, making it reliable and debuggable even on small models.\n\n## How it works\n\n1. **Webhook** receives a POST request with `chatInput` and `session_id`\n2. **Classify & Decompose** (Qwen2.5:7b) decides if the input is a question or small talk, and generates 1–5 focused sub-queries as structured JSON\n3. **Router** sends small talk to a conversational agent; questions enter the RAG pipeline\n4. **Retrieval Loop** runs each sub-query against pgvector using BGE-M3 embeddings, scores chunks, and discards anything below 0.4 relevance\n5. **Answer Generator** (Qwen3:14b) synthesizes a concise sourced answer with file citations and offers to elaborate\n6. **Think Tag Stripper** removes `<think>` reasoning blocks that Qwen3 outputs before the response is returned\n\n## Set up steps\n\n- [ ] Install Ollama and pull the required models: `ollama pull qwen2.5:7b`, `ollama pull qwen3:14b`, `ollama pull bge-m3:latest`\n- [ ] Set up PostgreSQL with the pgvector extension enabled\n- [ ] Create the `chat_histories` table (created automatically by n8n on first run)\n- [ ] Populate the `vector_store` table with your document embeddings using a separate ingestion workflow (chunks must include `title` and `file_path` in metadata)\n- [ ] Add your **Ollama** credentials to all Ollama nodes (host URL, e.g. `http://localhost:11434`)\n- [ ] Add your **Postgres** credentials to the PGVector and Chat Memory nodes\n- [ ] Activate the workflow and POST to the webhook: `{\"chatInput\": \"your question\", \"session_id\": \"unique-session-id\"}`"},"typeVersion":1},{"id":"1a2a3291-5eb5-454c-8219-7894cf791015","name":"Sticky Note — Classification","type":"n8n-nodes-base.stickyNote","position":[-1776,688],"parameters":{"color":6,"width":1020,"height":520,"content":"### 1. Classification & Routing\nA lightweight 7B model classifies the input as a question or small talk and decomposes questions into focused retrieval sub-queries."},"typeVersion":1},{"id":"6b94bfb2-1d74-46b0-aa72-9827a29f223a","name":"Sticky Note — Small Talk","type":"n8n-nodes-base.stickyNote","position":[0,-16],"parameters":{"color":6,"width":812,"height":540,"content":"### 2a. Small Talk Path\nHandles greetings and casual conversation with a 14B conversational agent backed by persistent session memory."},"typeVersion":1},{"id":"432d4802-ebbb-4555-b188-72befc0ced83","name":"Sticky Note — Answer Generation","type":"n8n-nodes-base.stickyNote","position":[-240,576],"parameters":{"color":6,"width":1000,"height":424,"content":"### 2b. Answer Generation\nAggregated retrieval results are passed to a 14B model that writes a concise sourced answer (1–3 sentences + source list) and offers to elaborate."},"typeVersion":1},{"id":"11e0d33c-93f4-4b14-af30-b7d96efbc561","name":"Sticky Note — RAG Retrieval","type":"n8n-nodes-base.stickyNote","position":[-736,1008],"parameters":{"color":6,"width":2240,"height":600,"content":"### 3. RAG Retrieval Pipeline\nLoops over each sub-query → embeds with BGE-M3 → retrieves from pgvector → filters chunks below 0.4 relevance score → aggregates per-query results."},"typeVersion":1},{"id":"518a6ba7-40c4-43db-8e6b-2f850415ae94","name":"Sticky Note — Think Tags Warning","type":"n8n-nodes-base.stickyNote","position":[416,48],"parameters":{"color":4,"width":320,"height":344,"content":"⚠️ **Qwen3 Think Tags**\nQwen3 outputs `<think>…</think>` reasoning blocks before its answer. These Code nodes strip them. If you switch to a non-reasoning model (e.g. Qwen2.5, Llama 3), you can delete these two nodes."},"typeVersion":1},{"id":"bc890da2-28e9-452d-a5e5-77ca62cec7d9","name":"Split Sub-Queries","type":"n8n-nodes-base.splitOut","position":[-672,1184],"parameters":{"options":{},"fieldToSplitOut":"=queries"},"typeVersion":1},{"id":"3aa14308-a12d-4d64-bac3-c2ff86a8d5e1","name":"Aggregate Matching Chunks","type":"n8n-nodes-base.aggregate","position":[928,1088],"parameters":{"options":{},"aggregate":"aggregateAllItemData","destinationFieldName":"All chunks for this question"},"typeVersion":1},{"id":"280b31a0-a342-44e1-a981-aa8addb7b1aa","name":"Aggregate All Retrieval Results","type":"n8n-nodes-base.aggregate","position":[-160,752],"parameters":{"options":{},"aggregate":"aggregateAllItemData","destinationFieldName":"Knowledge base retrieval"},"typeVersion":1},{"id":"06899328-33b2-4d12-aa02-13a6115080bf","name":"Any chunk?","type":"n8n-nodes-base.if","position":[704,1184],"parameters":{"options":{},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"66402fe0-918e-4268-8928-f4e83cbb3c4f","operator":{"type":"string","operation":"exists","singleValue":true},"leftValue":"={{ $json['Chunk content'] }}","rightValue":""}]}},"typeVersion":2.2},{"id":"f1770405-ca5d-4b2d-b940-1b98dc7b94c6","name":"Clean RAG output","type":"n8n-nodes-base.set","position":[192,1184],"parameters":{"options":{},"assignments":{"assignments":[{"id":"1eddb72f-9c99-465b-8f94-0ff0f686b542","name":"Chunk content","type":"string","value":"={{ $json.document.pageContent }}"},{"id":"09fe6c91-2cce-40ff-9f8c-86a6857f0772","name":"=Chunk metadata","type":"object","value":"={\n  \"Resource File name\": \"{{ $json.document.metadata.title }}\",\n  \"Reference File Path\": \"{{ $json.document.metadata.file_path }}\",\n  \"Retrieval relevance score\": {{ $json.score.round(2) }}\n}"}]}},"typeVersion":3.4},{"id":"832d0a58-abc2-4df7-ae52-dba54baa8ed2","name":"Keep score over 0.4","type":"n8n-nodes-base.filter","position":[480,1184],"parameters":{"options":{},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"9a3f844e-7d19-4631-9876-140118e61b6b","operator":{"type":"number","operation":"gt"},"leftValue":"={{ $json['Chunk metadata']['Retrieval relevance score'] }}","rightValue":0.4}]}},"typeVersion":2.2,"alwaysOutputData":true},{"id":"52ca59d4-6911-486f-ae3e-0263c00eb5a9","name":"Say no chunk match","type":"n8n-nodes-base.set","position":[928,1280],"parameters":{"options":{},"assignments":{"assignments":[{"id":"245fe8f8-b217-4626-bc4d-84f53e47fbbf","name":"Retrieval output","type":"string","value":"=No chunks reached the relevance threshold, the knowledge base was unable to provide information that would be helpful to answer this question."}]}},"typeVersion":3.4},{"id":"9b419289-7657-406f-b8ff-512d14d0e205","name":"Prepare loop output","type":"n8n-nodes-base.set","position":[1152,1280],"parameters":{"options":{},"assignments":{"assignments":[{"id":"838f21a4-f7bc-414e-83da-99fbaca4fcca","name":"Query to the knowledge base","type":"string","value":"={{ $('Loop Over Sub-Queries').first().json.query || $('Loop Over Sub-Queries').item.json.queries }}"},{"id":"10a89085-1937-459f-9721-8715cd51ad39","name":"Chunks returned","type":"string","value":"={{ JSON.stringify($json, null, 2) }}"}]}},"typeVersion":3.4},{"id":"e29bc19a-329e-404e-a49a-2a878cfcaa62","name":"Postgres Chat Memory (Small Talk)","type":"@n8n/n8n-nodes-langchain.memoryPostgresChat","position":[272,352],"parameters":{"tableName":"chat_histories","sessionKey":"={{ $('Webhook').item.json.body.session_id }}","sessionIdType":"customKey","contextWindowLength":10},"typeVersion":1.3},{"id":"7b97d99a-7aaa-4188-927f-dfbdcc5322ea","name":"Remove Think Tags (RAG 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}}","rightValue":"false"}]},"renameOutput":true},{"outputKey":"Question","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"6fc6a4e5-48e0-459a-abe3-69e5750ba2e9","operator":{"type":"boolean","operation":"true","singleValue":true},"leftValue":"={{ $json.is_question }}","rightValue":"true"}]},"renameOutput":true}]},"options":{}},"typeVersion":3.3},{"id":"20b2828a-f0aa-4266-9897-6089639656e9","name":"JSON Formatter","type":"n8n-nodes-base.code","position":[-1136,848],"parameters":{"jsCode":"// Parse the escaped JSON string from LLM output\nconst rawOutput = $json.output || $json.text || $json.response || \"\";\n\ntry {\n  // Remove escaped characters and parse\n  const cleaned = rawOutput\n    .replace(/\\\\n/g, '')\n    .replace(/\\\\/g, '')\n    .trim();\n  \n  const parsed = JSON.parse(cleaned);\n  \n  return {\n    json: {\n      is_question: parsed.is_question,\n      question_type: parsed.question_type,\n      queries: parsed.queries || [],\n      notes: parsed.notes || \"\"\n    }\n  };\n} catch (error) {\n  // Fallback if parsing fails\n  return {\n    json: {\n      is_question: false,\n      question_type: 0,\n      queries: [],\n      notes: \"Failed to parse LLM output\",\n      raw_output: rawOutput,\n      error: error.message\n    }\n  };\n}"},"typeVersion":2},{"id":"91311fcc-ceb9-48a7-b20f-0bd91969a7db","name":"Small Talk AI Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[128,128],"parameters":{"text":"={{ $('Webhook').item.json.body.chatInput }}","options":{"systemMessage":"=ROLE\nYou are a friendly assistant for internal company information. You engage in natural conversations with users.\n\nBEHAVIOR\n- Greet users politely and professionally\n- Respond to small talk briefly and in a friendly manner\n- When needed, explain your capabilities: \"I can help you with questions about our internal documents, products, processes, and policies.\"\n- Encourage users to ask specific questions\n- Match the user's language\n- Keep responses short (2–4 sentences)\n\nBOUNDARIES\n- No speculation or fabrication\n- For factual questions: \"I'd be happy to look that up in the knowledge base. Please ask me a specific question.\"\n- No personal opinions or advice outside the company context\n\nEXAMPLES\nUser: \"Hello\"\nAssistant: \"Hello! I'm your assistant for internal company information. How can I help you today?\"\n\nUser: \"How are you?\"\nAssistant: \"Thanks for asking! I'm ready to help you with questions about our documents and processes. What would you like to know?\"\n\nUser: \"Thanks\"\nAssistant: \"You're welcome! If you have any more questions, I'm always here for you.\""},"promptType":"define"},"typeVersion":2.2},{"id":"0177c211-483d-469e-9373-c205f275b19f","name":"Ollama Chat Model (Small Talk — Qwen3:14b)","type":"@n8n/n8n-nodes-langchain.lmChatOllama","position":[144,352],"parameters":{"model":"qwen3:14b","options":{"numPredict":4096,"temperature":0.7}},"typeVersion":1},{"id":"a04efb6a-0365-4d88-8bf8-7cf663d53103","name":"Ollama Chat Model (Classifier — Qwen2.5:7b)","type":"@n8n/n8n-nodes-langchain.lmChatOllama","position":[-1408,1072],"parameters":{"model":"qwen2.5:7b","options":{"numPredict":300,"temperature":0.7}},"typeVersion":1},{"id":"583b4379-e1e3-4821-8611-ae5b104a9572","name":"Postgres Chat Memory (RAG Answer)","type":"@n8n/n8n-nodes-langchain.memoryPostgresChat","position":[272,864],"parameters":{"tableName":"chat_histories","sessionKey":"={{ $('Webhook').item.json.body.session_id }}","sessionIdType":"customKey","contextWindowLength":10},"typeVersion":1.3},{"id":"2e041581-2d5d-4144-9c39-340d37f1d47b","name":"Answer Generator AI Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[128,640],"parameters":{"text":"=## User Question: \n{{$('Webhook').item.json.body.chatInput}}\n## Retrieved Knowledge Base Data \n{{ JSON.stringify($json['Knowledge base retrieval']) }}","options":{"systemMessage":"=# ROLE\nYou are a RAG answer generator. You MUST ALWAYS follow the exact 3-step format below.\n\n# STRICTLY FORBIDDEN\n- Long answers on the first response\n- Answers without source citations\n- Additional explanations before the follow-up question\n- Multiple paragraphs in the short answer\n- Answers without the follow-up question at the end\n\n# REQUIRED FORMAT (WITH EVIDENCE)\n\nStep 1: SHORT ANSWER (maximum 1–3 sentences)\n<A precise, direct answer to the question>\n\nStep 2: SOURCES (blank line before)\nSources:\n- <Filename> — <File path>\n- <Filename> — <File path>\n\nStep 3: FOLLOW-UP (blank line before)\nWould you like a more detailed explanation?\n\n# REQUIRED FORMAT (WITHOUT EVIDENCE)\n\nNo relevant information found in the database.\n\nMay I use general model knowledge to attempt an answer?\n\n# CRITICAL RULES\n1. The short answer must NEVER be longer than 3 sentences\n2. ALWAYS insert a blank line before \"Sources:\"\n3. ALWAYS insert a blank line before the follow-up question\n4. NEVER add additional information after the follow-up question\n5. ALWAYS list all sources used (Filename — Path)\n6. If multiple chunks reference the same file, list it only once\n\n# LANGUAGE\nMatch the user's language. Default to English if unclear."},"promptType":"define"},"typeVersion":2.2},{"id":"e8cfa385-6f6c-4d67-9dcc-664777e246f8","name":"Ollama Chat Model (Answer Generator — Qwen3:14b)","type":"@n8n/n8n-nodes-langchain.lmChatOllama","position":[144,864],"parameters":{"model":"qwen3:14b","options":{"topP":0.9,"numPredict":4096,"temperature":0.3,"repeatPenalty":1.05}},"typeVersion":1},{"id":"d84e1c8d-a94d-4b67-bee1-413d707e81eb","name":"Loop Over Sub-Queries","type":"n8n-nodes-base.splitInBatches","position":[-448,1184],"parameters":{"options":{}},"typeVersion":3},{"id":"71056de5-2e7e-4bcc-842a-29edd7937098","name":"Ollama Embeddings (BGE-M3)","type":"@n8n/n8n-nodes-langchain.embeddingsOllama","position":[-144,1408],"parameters":{"model":"bge-m3:latest"},"typeVersion":1},{"id":"3c5c0ef3-9f38-4f79-926a-68da7bafa27b","name":"PGVector Store — Retrieve Chunks","type":"@n8n/n8n-nodes-langchain.vectorStorePGVector","position":[-224,1184],"parameters":{"mode":"load","prompt":"={{ $json.query || $json.queries }}","options":{"metadata":{"metadataValues":[{"name":"user_id","value":"={{$json.user_id || \"YOUR_USER_ID\"}}"}]},"columnNames":{"values":{"contentColumnName":"content"}}},"tableName":"vector_store"},"credentials":{"postgres":{"id":"nt0f6mF4FbkvYfJT","name":"Postgres of Supabase"}},"typeVersion":1.3},{"id":"b56a9ace-af25-4ed0-8d85-23fd4ebc5ffd","name":"Remove Think Tags (Small Talk Path)","type":"n8n-nodes-base.code","position":[528,224],"parameters":{"jsCode":"// Remove <think> tags and their content\nconst response = $json.output;\nconst cleaned = response.replace(/[\\s\\S]*?<\\/think>/gi, '').trim();\n\nreturn {\n  json: {\n    output: cleaned\n  }\n};"},"typeVersion":2},{"id":"67f63fd9-b99b-45a0-add5-379d20eb1ad6","name":"Webhook","type":"n8n-nodes-base.webhook","position":[-1696,848],"webhookId":"f7596aa4-e976-43c0-9a71-61f5c2f2e425","parameters":{"path":"rag-chatbot","options":{"binaryPropertyName":"data"},"httpMethod":"POST","responseMode":"responseNode"},"typeVersion":2.1},{"id":"43fdf886-a2f1-4871-98c8-e1ff8d20ea0d","name":"Respond to Webhook","type":"n8n-nodes-base.respondToWebhook","position":[976,448],"parameters":{"options":{}},"typeVersion":1.4},{"id":"b49a2fb5-6c95-459c-aaab-01b639dd3079","name":"Understand Request","type":"@n8n/n8n-nodes-langchain.chainLlm","position":[-1472,848],"parameters":{"text":"={{ $json.body.chatInput }}","batching":{},"messages":{"messageValues":[{"message":"=You are a classifier and query planner for a RAG chatbot. Your job:\n1) Decide if the user input is a genuine question.\n2) If it is a question, assign a question type (1–5) from the taxonomy below and produce 1–5 focused sub-queries to send to a retrieval workflow.\n3) If it is NOT a question, mark it as not a question and do not generate sub-queries.\n\nTaxonomy (choose one best fit):\n1 = Factual lookup about known entities, product facts, definitions, specs\n2 = How-to / procedure / step-by-step instructions\n3 = Troubleshooting / diagnostics / error understanding\n4 = Policy / pricing / terms / compliance / rules\n5 = Comparative / decision support / pros-cons / selection criteria\n\nStrict rules:\n- Output ONLY valid JSON matching the schema below. 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