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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.
webExtractor is a Java application that is used for extracting specific content from web based HTML, XML, CSV, and free form text. The extracted data can be used for data gathering and mining purposes.
MiningFlow is an environment created for text mining experiments. It helps a text mining analyst to compose several web services in order to create an full experiment. The environment uses semantic aproach to support the design task.
GraphSpider is a pattern matcher which searches parsed text in phrase-structure tree or dependency graph format for syntactic structures matching a set of patterns in MPL, a regexp-like pattern language. Applications: information extraction, text mining.
reputron is a knowledge extraction engine platform that covers all aspect of text mining, relevance, indexing and querying on a corpus of text documents.