RAG Data Pipeline Crawler

Engineering the Pipeline

This tool addresses the data bottleneck in Retrieval-Augmented Generation (RAG) workflows. It is designed to navigate complex DOM structures, handle rate limits, and convert unstructured HTML into semantic JSONL datasets.

Features

• Puppeteer Clustering: Manages a pool of headless browser instances to crawl pages concurrently without memory leaks.
• Data Normalization: Automatically strips non-content DOM elements (ads, navbars) to reduce token usage during LLM ingestion.
• Resilience: Implements exponential backoff strategies and proxy rotation to handle anti-bot measures.