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Analyst Report: GigaOm Sonar Report for Vector Databases (2024)
The vector database market is surging as industries seek advanced AI to manage vast unstructured data. These databases enable similarity searches that consider data’s context, ensuring precise outcomes. This shift is crucial for leveraging AI’s full potential, making vector databases vital for intelligent solutions. In today’s saturated market, choosing the right vector database is overwhelming. The wrong decision will lead to significant cost and revenue consequences. The GigaOm Sonar report aims to guide IT decision-makers through the diverse landscape of available options, providing essential insights to inform your choices effectively.
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Analyst Report: More than Vectors: How Multi-Faceted AI Databases Enable Smart Applications
This research note explores the emergence of versatile AI databases that support multi-model applications. Practitioners, data/AI leaders, and business leaders should read this report to understand this new platform option for supporting modern AI/ML initiatives.
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Analyst Report: Why and How Retrieval-Augmented Generation Improves GenAI Outcomes
As organizations integrate corporate data with Natural Language Models (NLMs), Retrieval-Augmented Generation (RAG) is essential for enhancing AI accuracy and relevance, especially for complex queries and unstructured data. RAG allows businesses to unlock insights while maintaining control over data access, privacy, and compliance. When choosing RAG solutions, organizations should consider scalability, performance, integration ease, security features like encryption, and cost efficiency to ensure the system meets their data needs and budget. To help organizations navigate their choice in RAG adoption, BARC has prepared the research note: Why and How Retrieval-Augmented Generation Improves GenAI Outcomes.
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Analyst Report: How Generative AI Is Changing E-commerce
Artificial intelligence has been used to deliver superior e-commerce experiences for more than a decade. Generative AI has the potential to significantly level up customer experiences, specifically for search, recommendations, and personalizing user experiences, but the market is very much in the early exploratory stage. How can generative AI transform search, recommendations, and personalization? There are roadblocks, but with the right partner, e-commerce retailers can transform their customer engagement.
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Video: Scaling AI Beyond Vectors: Building Smarter, Faster Systems for RAG
During this Data Science Connect webinar, Aakarsh Ramchandani, Chief Strategy Officer, Ravenpack (Bigdata.com) and Jon Bratseth, CEO and Founder of Vespa.ai discuss strategies for leveraging generative AI beyond vector databases. Topics include scaling AI systems for performance, combining machine learning with search capabilities for enhanced retrieval-augmented generation (RAG) and best practices for getting started with generative AI.
