HyperCrawl

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Introduction:
Web crawler for LLM/RAG, reduces retrieval time.
Added on:
Jun 03 2024
Monthly Visitors:
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Social & Email:
HyperCrawl Product Information

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.

HyperCrawl's Core Features

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

HyperCrawl's Use Cases

#1

Developing powerful retrieval engines for LLM applications

#2

Building RAG (Retrieval-Augmented Generation) systems

#3

Crawling websites for data to train machine learning models

#4

Quickly indexing web content for search applications

FAQ from HyperCrawl

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Analytic of HyperCrawl

HyperCrawl Website Traffic Analysis

Visit Over Time

Monthly Visits
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Avg.Visit Duration
00:00:00
Page per Visit
0.00
Bounce Rate
0.00%
Feb 2024 - May 2026 All Traffic

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