# Web Scraping, Processing, and Embedding
This Google Colab notebook demonstrates a complete workflow for extracting information from a website, processing it, and preparing it for use in applications like question answering or semantic search.
Here's a breakdown of its functionality:
1. **Web Scraping:** It starts by crawling a specified website (in this case, `learn.microsoft.com/en-us/`) and extracting the text content from multiple pages.
2. **Data Processing:** The extracted text is then processed by splitting it into smaller, overlapping chunks. This makes the text more manageable for further analysis and embedding.
3. **Embedding:** Using a pre-trained Sentence Transformer model, each text chunk is converted into a numerical representation called an embedding. Embeddings capture the semantic meaning of the text, allowing for comparisons of similarity between different chunks.
4. **Saving:** Finally, the processed data, including the original text chunks, their source URLs, a…
