Hypercrawl
Web crawler for LLM/RAG, reduces retrieval time.
Hypercrawl Introduction
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.
Why Choose Hypercrawl?
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.
Hypercrawl Features
AI API
- ✓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?
Pricing
Pricing information not available
