Website to AI Assistant Pipeline with Auto-Updating Vector Knowledge
Crawl any website once. Get a smart AI assistant that stays current automatically.
The Core Idea
Any website has valuable knowledge locked in its pages. Product details, pricing, service info, FAQs. This pipeline unlocks all of it and turns it into a queryable AI assistant without any manual copy-pasting or document preparation.
Crawling and Data Collection
Firecrawl API scrapes the entire target website and returns the content in JSON, Markdown and HTML formats. Every page, product listing and content block gets captured in a clean structured form ready for processing.
High Speed Vector Ingestion
A custom Flask API handles the embedding pipeline against Supabase pgvector. The architecture was optimized to process 50,000 rows of vector data in under 2 minutes, making it practical for large sites and product catalogs without long setup waits.
AI Assistant
The vectors power a RAG-based AI agent that answers questions about the site instantly. It returns prices, URLs, product details and images from the actual site content. For e-commerce or service businesses it acts as a knowledgeable support agent that knows the catalog better than most staff.
Auto-Updating Knowledge Base
When the website publishes new content or changes existing pages, the system detects the update and re-embeds only the changed content. The assistant stays accurate without anyone running the pipeline manually.
Interested in working together?
I'm available for new projects. Let's talk about what you're building.
