Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Most advanced RAG systems operate within the 75% to 92% accuracy range, which may be acceptable for consumer applications but remains unacceptable for institutional finance. Henon's zero-error RAG has ...

Most advanced RAG systems operate within the 75% to 92% accuracy range, which may be acceptable for consumer applications but remains unacceptable for institutional finance. Henon's zero-error RAG has ...

Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it ...

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...

Abstract: Retrieval-Augmented Generation (RAG) systems enhance generative AI models by integrating external knowledge, improving factual accuracy, and reducing hallucinations. This paper presents a ...

In many enterprise environments, engineers and technical staff need to find information quickly. They search internal documents such as hardware specifications, project manuals, and technical notes.

According to @godofprompt, after reverse-engineering ChatGPT's memory architecture, it was revealed that the platform does not use sophisticated RAG (Retrieval-Augmented Generation) systems or vector ...

Struggling with your short game? In this video, a seasoned golf coach demonstrates the most common golf short game errors—chunking and skulling (or topping) the ball—during a lesson inside a modern ...

Harvard astrophysicist Avi Loeb has issued a startling warning that the interstellar visitor 3I/ATLAS may be dragging a 'swarm' of unknown objects across our Solar System. This claim, if verified, ...

Intelligent RAG System is a production-ready Retrieval-Augmented Generation platform that combines the power of Large Language Models with precise document retrieval. Built by Shaikh Akbar Ali, AI ...