Are you unhappy about your internal search results? You are not alone! Today’s enterprises grapple with the challenge of managing ever increasing volumes of data while struggling with search technology that has not kept pace with recent technological advancements. Blue Altair strongly advocates for the enablement and optimization of enhanced Enterprise Search functionality for our clients and through our partnership with Viena Inc., we deliver long-term, scalable solutions that maximize enterprise search implementations. If you are struggling with search on your internal databases like the intranet, people data or knowledge base, we can help. Learn more about our Enterprise Search Offering and our partnership with Viena.ai at https://lnkd.in/eTWemK24 #DataScience #AI #EnterpriseSearch #Serach #MachineLearning
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Analytics Architect | Big Data, AWS, Snowflake, Machine learning, Visualization | LLM enthusiast ❄️ Snowflakes Data super hero 2024 ❄️
Snowflake's Arctic #SnowflakeArctic will be a game changer LLM for enterprise solutions, excited and waiting for it. https://lnkd.in/gErPspWw #Innovation in the realm of artificial intelligence, especially in fields like GenAI, isn't just about technological advancements. It's equally about understanding the intricacies of the domain and the data within it. Domain experts play a crucial role in shaping the direction of AI applications by providing context, insight, and expertise that technology alone cannot replicate. Their guidance ensures that AI solutions are not only technically sound but also ethically, culturally, and practically appropriate for the specific domain they operate in. This collaboration between technology and domain expertise is what truly propels innovation forward in GenAI and other AI fields. #snowflake #llm #genAi #enterprise #datanegineering #datasuperhero
Snowflake Launches Practical Text-Embedding Model for Retrieval use Cases
snowflake.com
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Retrieval-Augmented Generation (RAG), alongside Gen AI, represents Microsoft Azure’s latest innovation introduced at the MS Ignite event. The following are key business applications: 1. Enhanced Question Answering Systems: RAG significantly improves AI-driven question answering capabilities by pulling relevant data from a broad information base. This process allows AI to deliver precise and comprehensive answers that go beyond its pre-trained knowledge, ensuring high accuracy and relevance in user interactions. 2. Automated Research and Data Analysis: In sectors requiring extensive data analysis, such as legal and healthcare, RAG-equipped AI can autonomously sift through expansive datasets to provide synthesized research. This enables quicker, more informed decision-making by extracting and integrating key information from numerous sources. 3. Dynamic Content Personalization and Recommendation: RAG enables AI to offer real-time, personalized content recommendations by continuously integrating the latest information. This ensures that suggestions for articles, products, or services are not only based on user history but are also the most relevant and up-to-date.
RAG and generative AI - Azure AI Search
learn.microsoft.com
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Healthcare Interoperability 3.0. IMHO we are entering new phase of Interoperability (and Automation) in Healthcare made possible by the trends and technologies; 1. The Generative AI / Foundation Models from openAI, Anthropic, Google & AWS now produce amazing Natural Language Understanding (NLU) multimodal (text, pictures, sound and video) processing capabilities that you can augment & finetune with a Retrieval Augmentation Generation (RAG) pipeline that could also be supplemented with your private data repositories. https://lnkd.in/gjmg7Xaa 2. Providers and other repositories of Health data can now supplement their data lakes with AI powered ‘Data Fabric’ solutions that would essentially automate the inventory & cataloging of data, and build vector based graphs of relationships and weights that power foundation models to augment NLU from those unstructured lakes. https://lnkd.in/gxtbpEN6 3. Users of Software in Healthcare will come to expect the AI ‘co-pilots’ (they know and love from other applications) that finally help bring a ‘Return of Insights’ (ROI) from the years and years of suffering with manual documentation and data capture. I love these examples from Google, Epic and Microsoft Google Gemini Example https://lnkd.in/g2ZBy3-N Epic & Nuance SOAP notes example https://lnkd.in/gcn8bnYP Microsoft Office 365 co-pilot example https://lnkd.in/gc2_eaNc AWS Healthscribe example https://lnkd.in/gZ7kn7bB
RAG and generative AI - Azure AI Search
learn.microsoft.com
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Vector databases are pivotal in modern AI, housing unstructured data like images, videos, and text for easy searchability. As generative AI advances, the demand for a unified embedding generation and search engine for AI applications increases. Co-Founders Jesse N. Clark and Tom Hamer 🦛 recognized a significant gap in the market and aimed to address the demand for semantic, adaptable searching capabilities across various modalities including text and images. This Founder Friday, delve into Marqo.ai's game-changing innovation. 1. Founded in 2022, Marqo.ai is a comprehensive embedding generation and search engine designed specifically for AI applications. 2. Marqo's mission is to tackle the challenge of unstructured data, which comprises up to 90% of all created data, by providing tools to make sense of this data. 3. Marqo offers a comprehensive set of vector search capabilities, including vector generation, storage, and retrieval. This allows users to bypass the need for separate third-party tools for vector generation by offering all necessary functionalities through a single API. 4. Marqo enables users to create multimodal indexes and search combinations of images and text, even combining them into a single vector. Their continuous learning technology automatically improves search relevance based on user engagement, such as clicks and "add to cart" actions. This feature is particularly valuable for e-commerce and other end-user search use cases. 5. To support its open source product, Marqo offers a cloud platform that handles infrastructure, maintenance, and operations for customers. This ensures optimal performance and cost efficiency, especially for users requiring real-time search. 6. Supporting search in over 100 languages, Marqo is easily accessible, making it ideal for global applications. Marqo has already garnered the trust of over a thousand developers and companies, including Envato Elements, Temple & Webster, and Tokopedia. Marqo.ai stands out in the vector database landscape by offering an all-in-one, open-source solution that simplifies vector search implementation for developers—an innovative approach to managing unstructured data. Explore more about Marqo.ai on their website: https://www.marqo.ai/ #FounderFridays
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We're teaming up with LlamaIndex to bring you advanced Retrieval-Augmented Generation (#RAG) capabilities using Azure AI Search! 🌐🦙 This powerful collaboration enables developers to build better applications with a comprehensive RAG framework and state-of-the-art retrieval system. Now you can easily optimize pre-retrieval and retrieval stages for more accurate and nuanced responses. 🎯💡 Key benefits: ✅ Query transformations with LlamaIndex for refined user input. ✅ Advanced retrieval techniques with Azure AI Search, including hybrid search and semantic ranking. ✅ Enhanced data exploration and higher quality retrieved results. ✅ Improved relevance and performance for Generative AI applications. Get started today and stay tuned for more exciting updates from our collaboration! 🔧🚀 Learn more: https://lnkd.in/giPWGueR #AzureAISearch #LlamaIndex #RAG #AzureAI #GenerativeAI #MSFTAdvocate
Advanced RAG with Azure AI Search and LlamaIndex
techcommunity.microsoft.com
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LhamaIndex + AI Search + LLM (Azure OpenAI) = Advanced RAG
We're teaming up with LlamaIndex to bring you advanced Retrieval-Augmented Generation (#RAG) capabilities using Azure AI Search! 🌐🦙 This powerful collaboration enables developers to build better applications with a comprehensive RAG framework and state-of-the-art retrieval system. Now you can easily optimize pre-retrieval and retrieval stages for more accurate and nuanced responses. 🎯💡 Key benefits: ✅ Query transformations with LlamaIndex for refined user input. ✅ Advanced retrieval techniques with Azure AI Search, including hybrid search and semantic ranking. ✅ Enhanced data exploration and higher quality retrieved results. ✅ Improved relevance and performance for Generative AI applications. Get started today and stay tuned for more exciting updates from our collaboration! 🔧🚀 Learn more: https://lnkd.in/giPWGueR #AzureAISearch #LlamaIndex #RAG #AzureAI #GenerativeAI #MSFTAdvocate
Advanced RAG with Azure AI Search and LlamaIndex
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Advanced RAG with LlamaIndex and Azure AI Search for better relevance, performance, retrieved results and nuanced responses
We're teaming up with LlamaIndex to bring you advanced Retrieval-Augmented Generation (#RAG) capabilities using Azure AI Search! 🌐🦙 This powerful collaboration enables developers to build better applications with a comprehensive RAG framework and state-of-the-art retrieval system. Now you can easily optimize pre-retrieval and retrieval stages for more accurate and nuanced responses. 🎯💡 Key benefits: ✅ Query transformations with LlamaIndex for refined user input. ✅ Advanced retrieval techniques with Azure AI Search, including hybrid search and semantic ranking. ✅ Enhanced data exploration and higher quality retrieved results. ✅ Improved relevance and performance for Generative AI applications. Get started today and stay tuned for more exciting updates from our collaboration! 🔧🚀 Learn more: https://lnkd.in/giPWGueR #AzureAISearch #LlamaIndex #RAG #AzureAI #GenerativeAI #MSFTAdvocate
Advanced RAG with Azure AI Search and LlamaIndex
techcommunity.microsoft.com
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We're teaming up with #LlamaIndex to bring you advanced Retrieval-Augmented Generation (#RAG) capabilities using #Azure #AI #Search! 🌐🦙 This powerful collaboration enables developers to build better applications with a comprehensive RAG framework and state-of-the-art retrieval system. Now you can easily optimize pre-retrieval and retrieval stages for more accurate and nuanced responses. Key benefits: ✅ Query transformations with LlamaIndex for refined user input. ✅ Advanced retrieval techniques with Azure AI Search, including hybrid search and semantic ranking. ✅ Enhanced data exploration and higher quality retrieved results. ✅ Improved relevance and performance for Generative AI applications. Get started today and stay tuned for more exciting updates from our collaboration! 🔧🚀 Learn more: https://lnkd.in/giPWGueR #AzureAISearch #LlamaIndex #RAG #AzureAI #GenerativeAI #MSFTAdvocate
Advanced RAG with Azure AI Search and LlamaIndex
techcommunity.microsoft.com
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The addition of #VectorSearch to address generative AI use cases illustrates how DataStax continues to adopt its platform, says Matt Aslett. Investigate: https://bit.ly/3s13BVm #Data #StreamingData #Analytics #DataStax
DataStax Adds Vector Search to Address Generative AI
mattaslett.ventanaresearch.com
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⚒ Azure Data Architect | 🐍 Data Engineer | 🧪 Data Scientist | ☁️ Microsoft Azure Certified X12 - AWS X1 - Databricks X2
Unlock new potentials in AI applications with the latest collaboration between Azure AI Search and LlamaIndex, enhancing retrieval-augmented generation (RAG) capabilities. 🚀🌐 - Advanced RAG leverages company data in Large Language Model (LLM) applications, ensuring up-to-date information access. - Improvements can be made in three stages: pre-retrieval, retrieval, and post-retrieval, each enhancing different aspects of the RAG process. - LlamaIndex introduces a comprehensive framework to bolster LLM application development over varied data sources. - Azure AI Search provides a high-performance, cutting-edge search platform ideal for scalable Generative AI applications. - Techniques like query transformations and hybrid search, along with semantic ranking in the retrieval process, significantly improve result quality. - Both query rewriting for nuanced inquiries and vector filters for targeted searches are available, optimizing the AI search experience. Discover more at: https://lnkd.in/dnDE9TX4 #AzureAI #LlamaIndex #AISearch #GenerativeAI
Advanced RAG with Azure AI Search and LlamaIndex
techcommunity.microsoft.com
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Student at Sant Gadge Baba Amravati University, Amravati
4wExciting!