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Ranking (14 results) showing 1 - 14
 ByGlean | Ver 1.1 At its core, Glean delivers powerful unified search across all applications used at your company, empowering employees to find answers to their questions, right when they need them. Glean understands who you are, what you are working on, who you are working with, and even language and acronyms... | |
 BySearchBlox | Ver SearchAI 10.8.0.5 Starting from $0.00 to $0.00/hr for software + AWS usage fees SearchAI is a comprehensive enterprise platform that revolutionizes how organizations harness their data through advanced retrieval-augmented generation (RAG) technology. At its core, the platform seamlessly automates the entire RAG workflow, from connecting and processing various data sources to... | |
 ByClosedLoop.ai | Ver 1.0.0 The CV19 Index (http://cv19index.com) is an open source, AI-based predictive model that identifies people likely to have heightened vulnerability to complications from COVID-19. The index is intended to help hospitals and government agencies respond to COVID-19. By targeting their outreach... | |
 ByVespa.ai Whether you just need to quickly deploy some experiments, or run an always available world-wide production system handling thousands of requests per second, the Vespa Cloud will fit your needs. | |
 ByNVIDIA | Ver v1.3.1 The NVIDIA NeMo Retriever Llama3.2 reranking model is optimized for providing a logit score that represents how relevant a document(s) is to a given query. The model was fine-tuned for multilingual, cross-lingual text question-answering retrieval, with support for long documents (up to 8192... | |
 ByMphasis | Ver 3.4 Key phrase extractor uses end-to-end text extraction pipeline, text analysis and natural language processing techniques to automate key phrases/words extraction from text documents. This solution is based on unsupervised graph-based, topic-based, statistics-based algorithms for the construction of... | |
 ByTrieve | Ver Trieve Vector Inference Starting from $500.00/mo for software + AWS usage fees Trieve Vector Inference is an in-VPC solution for lightning-fast vector inference, unlocking performance and productivity by eliminating cloud latency and rate limits. SaaS offerings for text embeddings have 2 major issues: 1) High latency due to batch processing 2) Heavy rate limits. This fuzzies ... | |
 ByOutpace Systems | Ver 0.8 A recommendation model using an alternating least squares factorization approach for implicit datasets. | |
 ByOutpace Systems | Ver 0.9 An explicit feedback matrix factorization model. Uses a classic matrix factorization approach, with latent vectors used to represent both users and items. Their dot product gives the predicted score for a user-item pair. | |
 ByOutpace Systems | Ver 0.9 An implicit feedback matrix factorization model. Uses a classic matrix factorization approach, with latent vectors used to represent both users and items. Their dot product gives the predicted score for a user-item pair. The model is trained through negative sampling: for any known user-item pair,... | |
 ByOutpace Systems | Ver 0.9 A recommender model that learns a matrix factorization embedding based off minimizing the pairwise ranking loss described in the paper. | |
 ByOutpace Systems | Ver 0.9 Models for recommending items given a sequence of previous implicit user/item interactions. Solves user cold start problem. | |
 ByOutpace Systems | Ver 0.9.36 A recommender model that learns a matrix factorization embedding based off minimizing the pairwise ranking loss described in the paper. | |
 Public LTR trainings are delivered via the online platform Moodle. This combines prerecorded video from members of the OSC team, slides, labs and quizzes so you make sure you’ve covered all the material. Learn how to: Interact with the Solr, OpenSearch & Elasticsearch Learning to Rank plugins Use m... |