Extract Rich Web Data Using RAG Agents

RAG agents retrieve and generate structured knowledge from unstructured HTML

Connect to vector databases, run semantic similarity, and extract data in context

Export clean knowledge graphs or tabular data from messy sites

Our RAG-based data extraction agents don’t just scrape—they learn. These agents retrieve related context using vector embeddings, then generate structured summaries or entities. This is perfect for news extraction, academic databases, and open data portals. Get semantic-level insights rather than shallow scrapes.