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Description

The Collie fetcher functions as an automated web scraping tool that retrieves content, media, and files from a specified URL. Upon visiting a URL, it extracts relevant assets and follows links to other pages, repeating this process for all interconnected sites. Each gathered asset is subsequently added to a searchable index known as Mixpeek. In addition, Collie's advanced tracking system securely monitors browsing activity, providing tailored summaries and actionable next steps when users return. This clever cookie technology keeps a record of users' navigation, capturing the last page visited and generating a comprehensive overview complete with references. When users come back, they are greeted with this summary, along with suggested next steps and resources designed to help them progress. By utilizing Collie, you can effectively enhance your conversion funnel, whether your goal is to encourage newsletter subscriptions, facilitate product purchases, or promote sign-ups for your service. Ultimately, this innovative tool not only streamlines user experiences but also drives engagement and conversion rates.

Description

Sphinx is a high-performance open-source full-text search engine specifically designed to prioritize efficiency, search quality, and ease of integration. Built using C++, it operates seamlessly across various platforms including Linux (such as RedHat and Ubuntu), Windows, MacOS, Solaris, FreeBSD, and several others. Sphinx supports both batch indexing and on-the-fly searching of data from SQL databases, NoSQL systems, or even plain files, allowing for a flexible approach similar to querying a traditional database server. The platform offers numerous text processing capabilities that facilitate the customization of its functions to meet the distinct needs of different applications, while multiple relevance tuning options help enhance the quality of search results. Implementing searches through SphinxAPI requires only three lines of code, and using SphinxQL is even more straightforward, enabling users to write search queries in familiar SQL syntax. Remarkably, Sphinx can index between 10 to 15 MB of text in a second for each CPU core, translating to over 60 MB per second on a dedicated indexing server. With its robust features and efficient performance, Sphinx stands out as an excellent choice for developers seeking a search solution tailored to their specific requirements.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Crowdin
Dash
Mermaid Chart
MySQL
PushFeedback
Read the Docs

Integrations

Crowdin
Dash
Mermaid Chart
MySQL
PushFeedback
Read the Docs

Pricing Details

$50 per month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Mixpeek

Website

collie.ai/

Vendor Details

Company Name

Sphinx

Founded

2007

Country

United States

Website

sphinxsearch.com

Product Features

Product Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Alternatives

Alternatives

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