Automate Website Content Extraction and Storage with Gemini and Pinecone - n8n Workflow | Neura Market
Automate Website Content Extraction and Storage with Gemini and Pinecone
Efficiently extract and store website content as vector embeddings in Pinecone using Google Gemini, creating a robust knowledge base for chatbots, search indexes, or internal tools.
This workflow automates the process of collecting web page content, converting it into vector embeddings using Google Gemini, and storing it in a Pinecone vector database. It begins by gathering URLs from a sitemap or a list of page URLs, processes each URL to extract the main textual content, and generates embeddings that capture the semantic meaning of the content. These embeddings are then stored in Pinecone, forming a searchable knowledge base. This setup is ideal for enhancing chatbot capab
Platform
n8n
Category
AI
Price
Free
Creator
Luca Esposito
xml
code
html
wait
merge
switch
stickyNote
formTrigger
httpRequest
splitInBatches
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.