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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
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