AI Product Guardrails: Incidents, Architecture and a 90-Day Plan
Published: 3 November 2026 | Updated: 4 November 2026 Quick answer: AI product guardrails are the controls that decide what an AI assistant may commit to, which systems it may read or write, and what it does when it isn’t sure. Rules that must hold under pressure belong in code, and the prompt handles tone […]
Continue Reading
Unlocking Better Text Retrieval with Late Chunking: A Practical Approach for RAG Applications
As we continue to advance the capabilities of natural language processing (NLP) systems, one key challenge remains at the forefront of text retrieval systems: how to efficiently split and embed long documents to retain contextual integrity while still enabling fast and effective retrieval. While transformer models have significantly improved the quality of text embeddings, they […]
Continue Reading
ReAct: Enhancing AI with Reasoning, Acting, and RAG Integration
Artificial Intelligence (AI) has evolved significantly over the years, with advancements in language models playing a crucial role. One of the latest innovations in this field is ReAct…
Continue Reading
RAG to GraphRAG | Enhancing Info Retrieval with Knowledge Graphs
In the realm of artificial intelligence, the pursuit of more accurate and contextually relevant information retrieval has led to significant advancements. One such evolution is from Retrieval-Augmented Generation (RAG) to GraphRAG, a concept detailed in a recent Microsoft blog post…
Continue Reading