Create AI-Ready Vector Datasets for LLMs: Bright Data, Gemini & Pinecone
Automates scalable web data collection via Bright Data, AI extraction with Gemini, and vector storage in Pinecone for LLM training and RAG apps.
This workflow automates the end-to-end process of gathering high-quality web data, processing it with AI agents, and storing it as searchable vectors in Pinecone. It uses Bright Data's Web Unlocker to bypass anti-bot measures and scrape content from specified URLs, then leverages Gemini-powered LLM chains for intelligent extraction, cleaning, and formatting into structured JSON.
Key benefits include massive time savings on manual data prep, scalability for large datasets, and production-ready o
- Platform
- n8n
- Category
- Finance & Accounting
- Price
- $27.99
- Creator
- Jonas Sato
- AI
- LLM
- Vector Database
- Pinecone
- Bright Data
- Gemini
- Web Scraping
- Data Extraction
- RAG
- Machine Learning
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.
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