Enter retrieval-augmented generation (RAG), a framework that’s here to keep AI’s feet on the ground and its head out of the clouds. RAG gives AI a lifeline to external, up-to-date sources of ...

RAG takes large language models a step further by drawing on trusted sources of domain-specific information. This brings ...

Whether minor or major inaccuracies, these errors can cause serious issues in a business context, from poor decision-making to a total lack of trust in the AI model. One breakthrough method to counter ...

Things are moving quickly in AI — and if you’re not keeping up, you’re falling behind. Two recent developments are reshaping the landscape for developers and enterprises ali ...

Learn More Popular AI orchestration framework LlamaIndex has introduced Agent Document Workflow (ADW), a new architecture that the company says goes beyond retrieval-augmented generation (RAG ...

Custom RAG is an AI architecture that combines retrieval based systems with generative AI models. In layman terms, what it means is that It bridges the gap between static knowledge repositories ...

With the launch of the Contextual AI Platform, enterprises will be able to create specialized “RAG agents” that can automate knowledge work on behalf of users. The new platform is based on an ...

Have you ever turned to artificial intelligence (AI) for answers and gotten a response that made you do a double-take? You’re not the only one. AI hallucination isn’t a sci-fi trope - it’s a ...