HyperCrawl
Web crawler for LLM/RAG, reduces retrieval time.
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Overview
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.
Access & connections
Where you can use HyperCrawl.
Platforms
Capabilities
What this tool accepts, produces, and is strongest at.
Highlights
- Asynchronous I/O for faster webpage loading
- Concurrency Management for handling multiple tasks simultaneously
- Efficient Resource Handling by reusing existing connections
- Visited URL Tracking to avoid duplicate processing
- Nested Event Loop Support for compatibility with various environments
FAQ 5
What is HyperCrawl?
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.
How to use HyperCrawl?
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.
What is HyperCrawl?
HyperCrawl is a web crawler designed specifically for LLM and RAG applications, aiming to reduce retrieval time.
How can I use HyperCrawl?
You can use HyperCrawl via HyperAPI for web projects or install it as a Python library.
Is HyperCrawl free to use?
HyperCrawl is available as an open-source Python library which is free to use.
HyperCrawl