<ul><li>Developer Alex introduces a new Python creation, a full-stack web scraper using FastAPI, PostgreSQL with pgvector, and Playwright for content scraping and similarity search.</li><li>The system uses vector embeddings to find related content, providing users with search results based on similarities in content.</li><li>The project streamlines content extraction, storage, search, and analysis processes in one cohesive system while respecting robots.txt rules.</li><li>Interested users can quickly get started by cloning the GitHub repo and running the API with Docker, enhancing content retrieval and analysis capabilities.</li></ul>

Building a smarter Web scraper: Vector embeddings for intelligent content retrieval and analysis

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