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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Hadoop, Hbase, HBase Web Client, Flume based log analytics system
Syoncloud Logs enables you to process log files from various applications using Hadoop, Flume and HBase. It has an easy installation and configurations interface. It has Syoncloud HBase web client. It displays tree of HBase tables and column families linked to paginated grid of data.
Like Unix-Tail BUT:
- Runs with or without GUI
- Suspend and resume tailing at runtime
- Can monitor a set of Files
- Print output to a textfield, stdout or file
- Runs in "Grep" mode, too (Read files once)
- (Almost) the same options as Unix-Tail
hypKNOWsys aims at developing a Java-based workbench for knowledge discovery and knowledge management. Currently, hypKNOWsys has released two intermediate tools: DIAsDEM Workbench (text mining for semantic tagging) and WUMprep (Web mining pre-processing)