An advanced Q&A tool for extracting and answering questions from any website URL using Crawl4AI for efficient text extraction and LanceDB for vector-based semantic search.
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Advanced Web Crawling with Crawl4AI:
- Multi-browser support (Chromium, Firefox, WebKit)
- Extraction of media tags, metadata, links, and page structure
- Support for JSON, cleaned HTML, and Markdown output formats
- Enhanced customization options: user-agent, headers, authentication, JavaScript execution, and more
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Q&A Powered by LanceDB:
- Serverless, production-scale vector search for high-performance Q&A
- Support for vectors, metadata, text, images, videos, and more
- Zero-copy, versioning-friendly database with Python and JavaScript integration
- Compatibility with LangChain, LlamaIndex, Apache-Arrow, Pandas, Polars, DuckDB, and more
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Set up Crawl4AI: Configure Crawl4AI to handle the web crawling and data extraction from specified URLs.
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Configure LanceDB: Use LanceDB to manage vector-based data for Q&A. Add URL-based extracted data as embeddings for question answering.
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Run the notebook: Try it now in our Colab notebook:
