n8n Slack Bot + AI Agent: Answer Team Questions from Your Docs
Your team asks the same question in Slack every week. Wire a Slack Trigger to an n8n AI agent with a vector store and the bot answers from your own documents, in the thread, in seconds.
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#vector store
Why Your n8n RAG Chatbot Gives Wrong Answers (Fix Retrieval) (2026)
When your n8n RAG chatbot returns wrong answers, the fix is retrieval, not the model. This guide walks 6 fixable causes: chunking, overlap, top-k, embeddings, metadata filtering, and reranking.
Best Embedding Model for n8n RAG: OpenAI vs Gemini vs Local (2026)
Choosing between n8n RAG embeddings comes down to four verifiable axes: dimensions, price per 1M tokens, max input context, and cloud vs local. This guide compares OpenAI, Gemini, and Ollama options so you pick the one you can live with.
Build a Question and Answer Chain in n8n (Answer From Your Docs)
The n8n Question and Answer Chain retrieves passages from your own vector store and answers from them, not from the model's memory. Index once for about $0.01, then answer 1,000 questions for about $2.50 on Claude Haiku 4.5.
Build a Vector Store in n8n (Embeddings for RAG)
Build an n8n vector store that retrieves your own documents by meaning, not keywords. Embedding 1,000 docs costs ~1.3 cents; Supabase free-tier storage costs $0. Full node wiring and step-by-step setup inside.
Build an AI Customer-Support Bot in n8n (RAG, With Real Monthly Cost)
Build an n8n AI customer support bot that answers repeat questions from your own docs using RAG. Two workflows, about $4.50 per 1,000 answers on Claude Haiku 4.5, and $0 platform cost if you self-host.