A RAG Chatbot with n8n and Pinecone Vector Database
A RAG Chatbot with n8n and Pinecone Vector Database Retrieval-Augmented Generation (RAG) allows Large Language Models (LLMs) to provide context-aware answers by retrieving information from an external vector database. In this post, we’ll walk through a complete n8n workflow that builds a chatbot capable of answering company policy questions using Pinecone Vector Database and OpenAI models. Our setup has two main parts: Data Loading to RAG – documents (company policies) are ingested from
Marketplace
Independent
Category
generative
More like this
Browse generative agents →
AI-Generated Weather Analysis with NWS Alerts, Radar Imagery, and Home Assistant
Overview
Free
generativeRunway ML
AI video generation and creative editing
$15/mo
generativeDream 3D
Dream3D harnesses AI to create intricate, studio-quality 3D graphics
Free · Paid plans available
generativePinegraph
Create unique style art and sketches just with your prompts
Free