I will build a rag ai chatbot using your company documents with n8n

Most "AI chatbot" gigs give you a bot that guesses. This one doesn't.

I build RAG (Retrieval-Augmented Generation) chatbots that actually read your company's documents PDFs, policies, product sheets, FAQs and answer customer questions using YOUR real information, not made-up responses.

Here's what makes this different: your documents get converted into searchable knowledge chunks stored in a vector database (Pinecone). When a customer asks something, the AI searches that exact knowledge base before replying so answers are grounded in facts, not hallucinated.

What you get:

A fully working n8n workflow (two parts: one that loads your documents, one that runs the live chat)

AI-powered semantic search the bot understands meaning, not just keywords

Conversation memory it remembers context within a chat, no repeating yourself

Honest fallback if the answer isn't in your docs, it says so instead of guessing

Clear setup instructions to plug in your own documents and API keys

Best for: SaaS companies, agencies, and service businesses drowning in repetitive "what's your refund policy" or "how does X work" questions.

I don't sell templates I haven't tested this exact architecture runs the way