Search Results for "data matching"
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Showing 4 open source projects for "data matching"
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Bottleneck Calculator
Check CPU and GPU balance with real time bottleneck analysis
PC Bottleneck Calculator is a performance analysis tool that helps PC gamers and builders identify CPU or GPU bottlenecks in their systems. It provides accurate compatibility insights by comparing hardware data and real world benchmarks to estimate system balance. Users can instantly see how well their CPU and GPU pair together, test different configurations, and understand which component limits their gaming performance. www.pcbottleneckcalculator.io Built with a clean, responsive... -
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Cacti URL Monitoring Plugin (mURLin)
URL Monitoring Plugin For Cacti
Provides URL monitoring capabilities for Cacti, includes basic Regex filtering on the returned websites. -
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NZBGetter is a PHP Script for linux based systems to spider NZB index sites for NZB files matching your predefined search patterns. The script downloads matching NZB files and passes them to your Usenet Reader.
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The project will be looking at data (the intention is to begin looking at customer name/address data but this may widen over time) and ways to intelligently detect duplicates using fuzzy matching methods and algorithms.
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Zendesk: The Complete Customer Service SolutionEquip your agents with powerful AI tools and workflows that boost efficiency and elevate customer experiences across every channel.
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