Oracle Database 23AI for GenAI RAG Implementation, Part 1

At the recent CloudWorld event, Oracle introduced Oracle Database 23c, its next-generation database, which incorporates AI capabilities through the addition of AI vector search to its converged database. This vector search feature allows businesses to run multimodal queries that integrate...

November 4, 2024

Multimodal RAG Is Not Scary, Ghosts Are Scary

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Multimodal RAG Is Not Scary, Ghosts Are Scary

I just gave a talk at All Things Open and it is hard to believe that Retrieval Augmented Generation (RAG) now seems like it has been a technique that we have been doing for years. There is a good reason...

October 31, 2024

Real-Time GenAI With RAG Using Apache Kafka, Flink – DZone

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Real-Time GenAI With RAG Using Apache Kafka, Flink – DZone

How do you prevent hallucinations from large language models (LLMs) in GenAI applications? LLMs need real-time, contextualized, and trustworthy data to generate the most reliable outputs. This blog post explains how RAG and a data streaming platform with Apache Kafka...

September 11, 2024

Unlocking the Power of Multimodal Data Analysis with LLMs and Python

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Unlocking the Power of Multimodal Data Analysis with LLMs and Python

Introduction In today’s data-driven world, we no longer rely on a single type of data. From text and images to videos and audio, we are surrounded by multimodal data. This is where the magic of multimodal data analysis comes into...

September 9, 2024

GenAI Architecture: DSFT, RAG, RAFT, and GraphRAG – DZone

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GenAI Architecture: DSFT, RAG, RAFT, and GraphRAG – DZone

A best-designed Enterprise Architecture is the backbone for any organization’s IT systems, which support the foundational building blocks to achieve the organization’s business objective. The architecture consists of best practices, clearly outlined strategies, common frameworks, and guidelines for the engineering...

August 24, 2024

Parent Document Retrieval: Useful Technique in RAG – DZone

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Parent Document Retrieval: Useful Technique in RAG – DZone

What Is Parent Document Retrieval (PDR)? Parent Document Retrieval is a method implemented in state-of-the-art RAG models meant to recover full parent documents from which relevant child passages or snippets can be extracted. It provides context enrichment and is passed...

August 23, 2024

金融业专家边聊:MongoDB Atlas矢量搜索实际用户案例(搜索内部PDF文档)

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金融业专家边聊:MongoDB Atlas矢量搜索实际用户案例(搜索内部PDF文档)

用例1: 使用矢量搜索和LLM的PDF搜索应用程序检索增强型生成(RAG) 问题: PDF是非结构化数据难以搜索领先的理赔调查员审查合同和理赔需要高效和准确性来解决这一历史性的繁琐任务总结文件内容指示信息来源挑战: 承保人和理赔调查员要浏览大量的指南、合同和报告页面耗时导致昂贵的错误(风险估算不准确) 详情: 根据用户所在国家提供PDF 矢量搜索查询特定文档过滤掉无关的PDF 索引预筛选: 必须索引具有数据类型的字段只包括具有正确数据类型的记录专用搜索节点架构: 同时支持Atlas搜索和矢量搜索工作负载用例2: 使用LLM和矢量搜索的理赔管理,用于RAG 挑战: 理赔调查员从不同格式的系统中提取和汇总信息内容共享平台客户信息被锁定在遗留的客户关系管理系统中与理赔有关的图片和语音报告非结构化数据简化操作解决方案: Atlas矢量搜索大语言模型(LLM) 检索增强型生成(RAG) 矢量搜索查询: 获取矢量嵌入和纯文本元数据不需要检索数据聚合管道:...

August 5, 2024

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Step-by-Step to AI Engineering Mastery

Hey there, your boy Nomadev is back with another AI blog. I’ve been away for a bit, but now I’m here to stay with regular updates on all things AI! Generative AI is the buzzword these days, heralding a new...

July 9, 2024

Build an Advanced RAG App: Query Rewriting – DZone

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Build an Advanced RAG App: Query Rewriting – DZone

In the last article, I established the basic architecture for a basic RAG app. In case you missed that, I recommend that you first read that article. That will set the base from which we can improve our RAG system....

July 6, 2024

AI and RAG in Knowledge Graph Enlightenment | HackerNoon

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AI and RAG in Knowledge Graph Enlightenment | HackerNoon

A snapshot of the adoption wave for graphs in the real world and the evolution of their use to support and advance AI – generative or otherwise. Is Knowledge Graph enlightenment here, and what does that mean for AI and...

June 28, 2024

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