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AIAI applicationsAI assistantAI infrastructureapiAWScategory-/Business & Industrialcategory-/Computers & Electronics/SoftwarechatbotsChatGPTClaudecustomer datadatadata infrastructuredata privacydata securitydatabasesDialogflowEnterpriseenterprisesfine tuning modelsGeminigen AIGenerative AIGooglegoogle cloudGoogle WorkspaceGPT-4Hugging FaceLLaMALMSYS Chatbot ArenaMetamicrosoft-azureMilvusML and Deep LearningNewsopen source modelsPineconeRetrieval-augmented generation (RAG)structured dataunstructured dataVB special issuevector databaseVertex AI

What’s the minimum viable infrastructure your enterprise needs for AI? [VentureBeat]

What is the minimum viable infrastructure enterprises need? from data storage and LLMs, and integration and development resources. View Article

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AIAI app developmentAI appsBusinesscategory-/Business & Industrialcategory-/Computers & Electronics/Enterprise Technologycategory-/Science/Computer Scienceconversational AIdata enrichmentdata infrastructuredata ingestiondata integrationdata managementdata scienceData Storage and Clouddata transformationGenerative AIknowledge as a serviceknowledge graphML and Deep Learningmultimodal dataNewsnlpRAG appsretrieval augmented generationRetrieval-augmented generation (RAG)UniphoreUniphore X-PlatformUniphore X-Streamvector databaseVector DatabasesX-Stream

Uniphore unveils X-Stream, a unified knowledge offering to build RAG apps 8x faster [VentureBeat]

With a new knowledge-as-a-service offering, Uniphore promises enterprises up to eight times faster deployment for domain-specific RAG-based AI apps. View

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