From sitemap crawling to vector storage: Creating an efficient workflow for RAG

About This Workflow

What This Workflow Does

This workflow automatically crawls a website from its sitemap, processes the data, and stores it in a vector storage. It deduplicates URLs in Supabase, scrapes pages with Crawl4AI, cleans and validates the text, and ultimately stores the extracted information. This efficient workflow streamlines the process of collecting market research data.

Who Should Use This

This workflow is ideal for developers, marketers, and business owners involved in market research, particularly those leveraging AI-powered tools to analyze and process large amounts of data.

Key Features

• Crawl a website from its sitemap to gather URLs
• Deduplicate URLs in Supabase for efficient data storage
• Scrape pages with Crawl4AI to extract relevant information
• Clean and validate the text to ensure accuracy and quality
• Store the extracted information in a vector storage for analysis and further processing