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txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. Traditional search systems use keywords to find data. Semantic search applications have an understanding of natural language and identify results that have the same meaning, not necessarily the same keywords. Backed by state-of-the-art machine learning models, data is transformed into vector representations for search (also known as embeddings). Innovation is happening at a rapid...
A SOA framework for web content classification, clustering and automated interlinking of terms between documents. Will provide an expandable set of services such as semantic search, ranking, retrieval and classification of large scale web resources.
...Its architecture is modular, separating handlers, services, and utilities to support customization and extension. Overall, rag-search serves as a practical starter backend for teams building AI search or question-answering applications on their own data.
S3B - Social Semantic Search and Browsing - is a middleware that delivers a set of search and browsing components that can be used in J2EE webapplications to deliver user-oriented features based on semantic descriptions and social networking
DOSE: a distributed platform for semantic elaboration that provides semantic services such as automatic annotation of web resources at the document substructure level, semantic search facilities, semantic annotation storage and retrieval.
Catalogo is a system for cataloguing resources on a web site. It allows semantic search of information on an intranet using metadata, RDF and ontology concepts. It provides a Catalog server (Javawebapplications) and a Catalog client (Firefox plug-in).
eagle-i is an ontology-driven, RDF-based distributed platform for creating, storing and searching semantically rich data. eagle-i is built around semantic web technologies and adheres to linked open data principles.