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Tag: Retrieval-Augmented Generation

  • Hacker News: AI Engineer Reading List

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    Kurt Seifried
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    Source URL: https://www.latent.space/p/2025-papers Source: Hacker News Title: AI Engineer Reading List Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text focuses on providing a curated reading list for AI engineers, particularly emphasizing recent advancements in large language models (LLMs) and related AI technologies. It is a practical guide designed to enhance the knowledge…

  • Docker: Meet Gordon: An AI Agent for Docker

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/meet-gordon-an-ai-agent-for-docker/ Source: Docker Title: Meet Gordon: An AI Agent for Docker Feedly Summary: We share our experiments creating a Docker AI Agent, named Gordon, which can help new users learn about our tools and products and help power users get things done faster. AI Summary and Description: Yes Summary: The text discusses a…

  • Cloud Blog: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence

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    Kurt Seifried
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    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…

  • Hacker News: KAG – Knowledge Graph RAG Framework

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    system automation
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    Source URL: https://github.com/OpenSPG/KAG Source: Hacker News Title: KAG – Knowledge Graph RAG Framework Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces KAG (Knowledge Augmented Generation), a framework leveraging large language models (LLMs) to enhance logical reasoning and Q&A capabilities in specialized domains. It overcomes traditional challenges in vector similarity and graph…

  • Hacker News: Build Your Own AI-Powered Document Chatbot in Minutes with Simple RAG

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    system automation
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    Source URL: https://news.ycombinator.com/item?id=42504661 Source: Hacker News Title: Build Your Own AI-Powered Document Chatbot in Minutes with Simple RAG Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a project that allows users to create an AI-powered chatbot for document analysis using a Retrieval Augmented Generation (RAG) framework. This is particularly relevant for…

  • Irrational Exuberance: Wardley mapping the LLM ecosystem.

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    system automation
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    Source URL: https://lethain.com/wardley-llm-ecosystem/ Source: Irrational Exuberance Title: Wardley mapping the LLM ecosystem. Feedly Summary: In How should you adopt LLMs?, we explore how a theoretical ride sharing company, Theoretical Ride Sharing, should adopt Large Language Models (LLMs). Part of that strategy’s diagnosis depends on understanding the expected evolution of the LLM ecosystem, which we’ve build…

  • Hacker News: RAG Logger: An Open-Source Alternative to LangSmith

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    system automation
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    Source URL: https://github.com/Brandon-c-tech/RAG-logger Source: Hacker News Title: RAG Logger: An Open-Source Alternative to LangSmith Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses an open-source logging tool called RAG Logger, designed for Retrieval-Augmented Generation (RAG) applications. This tool enables detailed tracking of queries, retrieval processes, and interactions with large language models (LLMs),…

  • Cloud Blog: Find sensitive data faster (but safely) with Google Distributed Cloud’s gen AI search solution

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    system automation
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    Source URL: https://cloud.google.com/blog/topics/hybrid-cloud/on-prem-generative-ai-search-with-google-distributed-cloud-rag/ Source: Cloud Blog Title: Find sensitive data faster (but safely) with Google Distributed Cloud’s gen AI search solution Feedly Summary: Today, generative AI is giving organizations new ways to process and analyze data, discover hidden insights, increase productivity and build new applications. However, data sovereignty, regulatory compliance, and low-latency requirements can be…

  • Hacker News: A Replacement for Bert

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    system automation
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    Source URL: https://huggingface.co/blog/modernbert Source: Hacker News Title: A Replacement for Bert Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the introduction of ModernBERT, an advanced encoder-only model that surpasses older models like BERT in both performance and efficiency. Boasting an increased context length of 8192 tokens, faster processing…

  • Cloud Blog: Optimizing RAG retrieval: Test, tune, succeed

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    system automation
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/optimizing-rag-retrieval/ Source: Cloud Blog Title: Optimizing RAG retrieval: Test, tune, succeed Feedly Summary: Retrieval-augmented generation (RAG) supercharges large language models (LLMs) by connecting them to real-time, proprietary, and specialized data. This helps LLMs deliver more accurate, relevant, and contextually aware responses, minimizing hallucinations and building trust in AI applications. But RAG can be…