Web-Scraping

Summary

This post details building a robust web data pipeline using SmolAgents. We’ll create tools to retrieve content from various web endpoints, convert it to a consistent format (Markdown), store it efficiently, and then evaluate its relevance and quality using Large Language Models (LLMs). This pipeline is crucial for building a knowledge base for LLM applications.

Web Data Convertor (MarkdownConverter)

We leverage the MarkdownConverter class, inspired by the one in autogen, to handle the diverse formats encountered on the web. This ensures consistency for downstream processing.