Geeky Gadgets

Claude Code RAG Masterclass : 8 Steps Proves Structure, Not Size, Drives Real Answers

What if you could build an AI system that not only retrieves information with pinpoint accuracy but also adapts dynamically to complex tasks? Below, The AI Automators breaks down how to create a ...
InfoQ

Building a RAG Application with Spring Boot, Spring AI, MongoDB Atlas Vector Search, and OpenAI

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
dbta

DataStax Integrates with Microsoft Semantic Kernel to Power RAG App and Agent Development

DataStax, the generative AI data company, is announcing an integration with Microsoft Semantic Kernel—an open-source SDK that simplifies the building of agents with an organization’s existing code.
Security Boulevard

Building a RAG system on Databricks with your unstructured data using Tonic Textual

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.
InfoWorld

What is retrieval-augmented generation? More accurate and reliable LLMs

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...
WIVB-TV

ClearML Integrates Vector Image Search and Vector Databases for AI Builders, Supercharging RAG Development

Native vector image search and a vector database for RAG are now integrated into ClearML's Hyper-Datasets AI builders can now use native vector image search to gain deeper data insights, streamline ...