HyperCrawl is a cutting-edge web crawler specifically designed for retrieval-based LLM development. With its zero-latency capabilities, it revolutionizes the web crawling process, enabling ML engineers to retrieve data at lightning-fast speeds.
Unlike traditional web crawlers, HyperCrawl focuses on optimizing the retrieval process for LLM development. By implementing advanced techniques, it significantly reduces the time required to crawl domains, making it an invaluable tool for ML engineers.
The key features of HyperCrawl include asynchronous I/O, concurrency management, efficient resource handling, visited URL tracking, and nested event loop support. These features work together to enhance the retrieval process, allowing ML engineers to handle multiple tasks simultaneously and avoid wasting time on duplicate work.
HyperCrawl offers flexibility in how it can be accessed. It can be used via the HyperAPI for web-based and JavaScript projects, and it is also available as a Python library. Whether you prefer to go cloud or run locally, HyperCrawl has you covered.
To get started with HyperCrawl, you can install it using pip and explore its extensive documentation. It’s free to use and open-source, making it accessible to ML engineers of all levels.
Learn more about HyperCrawl and how it can supercharge your LLM development by visiting HyperCrawl.