Tag: Google Drive
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Cloud Blog: Going from requirements to prototype with Gemini Code Assist
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/from-requirements-to-prototype-with-gemini-code-assist/ Source: Cloud Blog Title: Going from requirements to prototype with Gemini Code Assist Feedly Summary: Imagine this common scenario: you have a detailed product requirements document for your next project. Instead of reading the whole document and manually starting to code (or defining test cases or API specifications) to implement the required…
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Cloud Blog: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-vertex-ai-rag-engine/ Source: Cloud Blog Title: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence Feedly Summary: Closing the gap between impressive model demos and real-world performance is crucial for successfully deploying generative AI for enterprise. Despite the incredible capabilities of generative AI for enterprise, this perceived gap may be…
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AWS News Blog: New APIs in Amazon Bedrock to enhance RAG applications, now available
Source URL: https://aws.amazon.com/blogs/aws/new-apis-in-amazon-bedrock-to-enhance-rag-applications-now-available/ Source: AWS News Blog Title: New APIs in Amazon Bedrock to enhance RAG applications, now available Feedly Summary: With custom connectors and reranking models, you can enhance RAG applications by enabling direct ingestion to knowledge bases without requiring a full sync, and improving response relevance through advanced re-ranking models. AI Summary and…
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AWS News Blog: New APIs in Amazon Bedrock to enhance RAG applications, now available
Source URL: https://aws.amazon.com/blogs/aws/new-apis-in-amazon-bedrock-to-enhance-rag-applications-now-available/ Source: AWS News Blog Title: New APIs in Amazon Bedrock to enhance RAG applications, now available Feedly Summary: With custom connectors and reranking models, you can enhance RAG applications by enabling direct ingestion to knowledge bases without requiring a full sync, and improving response relevance through advanced re-ranking models. AI Summary and…
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Cloud Blog: Introducing Google Agentspace: Bringing AI agents and AI-powered search to enterprises
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/bringing-ai-agents-to-enterprises-with-google-agentspace/ Source: Cloud Blog Title: Introducing Google Agentspace: Bringing AI agents and AI-powered search to enterprises Feedly Summary: For enterprises, brilliance isn’t just about individual genius – it’s about the collective intelligence within an organization. But this brilliance is often hidden in silos, inaccessible to those who need it most, when they need…
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AWS News Blog: New APIs in Amazon Bedrock to enhance RAG applications, now available
Source URL: https://aws.amazon.com/blogs/aws/new-apis-in-amazon-bedrock-to-enhance-rag-applications-now-available/ Source: AWS News Blog Title: New APIs in Amazon Bedrock to enhance RAG applications, now available Feedly Summary: With custom connectors and reranking models, you can enhance RAG applications by enabling direct ingestion to knowledge bases without requiring a full sync, and improving response relevance through advanced re-ranking models. AI Summary and…