Retrieval augmented generation (RAG) combines your company data with AI, turning generic chatbots into powerful tools that know your business inside out. With RAG, your AI can tap into your company's intelligence for better answers and value. Go deeper: https://sforce.co/4a4onVf
Very helpful!
Well summarized. Especially when a lot of valuable information is contained in numerous customer documentations, RAG can make this information available via a central point (ChatBot), reduce time-consuming document searches and enhance the customer experience.
Retrieval-Augmented Generation (RAG) improves AI performance by combining the extensive knowledge encapsulation capabilities of large language models with precise, targeted information retrieval. This synergy enhances response quality and relevance, and reduces the occurrence of hallucinations, making AI outputs more accurate and contextually aware.
What type of data is needed for this tool to work? Love this as a new step for AI
It would be game changer then ...Is the RAG feature is available in any of the trailhead org for us to test ?
I'd love to test this out. How can I access to demo?
Great insights on Retrieval Augmented Generation (RAG)! We’re excited to see how RAG will enhance generative AI with accurate and personalized data retrieval. Looking forward to leveraging these advancements at the amazing companies we work with! #Salesforce #RAG #AI
The integration of AI in Retrieval-Augmented Generation (RAG) significantly enhances AI's ability to provide more accurate, relevant, and contextually aware responses by leveraging external knowledge sources. This fusion not only improves the factual precision of AI-generated content but also broadens its applicability across various domains, including customer service and market analysis.
Red Amber Green !
LinkedIn Top Voice Writing, Content Strategy & Marketing | Chief Content & Marketing Officer | Digital Storytelling Leader | Marketing Innovator | Driving Business Growth & Conversions | Aspiring Yogi
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