Automate Website Content Extraction and Storage with Gemini and Pinecone

This workflow automates the process of collecting web page content, converting it into vector embeddings using Google Gemini, and storing it in a Pinecone vector database. It begins by gathering URLs from a sitemap or a list of page URLs, processes each URL to extract the main textual content, and generates embeddings that capture the semantic meaning of the content. These embeddings are then stored in Pinecone, forming a searchable knowledge base. This setup is ideal for enhancing chatbot capabilities, building search indexes, or maintaining a comprehensive information repository.