Hypercrawl
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Web crawler for LLM/RAG, reduces retrieval time.
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HyperCrawl is a zero-latency web crawler specifically designed for retrieval-based LLM development and RAG applications. It aims to significantly reduce retrieval time in RAG systems by up to 95%. It's built for ML engineers to boost retrieval processes by eliminating the crawl time of domains, using advanced methods to create a novel, ML-first web crawler.
HyperCrawl can be used via HyperAPI for web-based & JS projects, or installed as a Python library using pip. It's available both as an API and as an open-source Python library, allowing users to go cloud or run locally.
Choose this if you wanna slash your retrieval time drastically. Hypercrawl is perfect for ML engineers who need a fast, efficient web crawler that handles loads of tasks at once without slowing down. Its smart resource handling and async loading make it a real time-saver, plus it avoids reprocessing URLs so you get only fresh data. If speed and efficiency matter, this is the tool.
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