RAG Hallucinates — I Built a Self-Healing Layer That Fixes It in Real Time

Enterprise Document Intelligence [Vol.1 #7ter] - Six positions on the retrieval brick that contradict the cosine-first reflex of mainstream RAG The post The Untaught Lessons of RAG Retrieval: Cosine Is Not the Foundation appeared first on Towards Data Science.

Enterprise Document Intelligence [Vol.1 #6ter] - Six positions on the question-parsing brick that contradict the mainstream RAG playbook The post The Untaught Lessons of RAG Question Parsing: Structure Before You Search appeared first on Towards Data Science.

As organizations rush to move AI into production, they’re finding that the tools they rely on to monitor traditional software don’t translate cleanly to AI systems. The reason is fundamental: AI doesn’t fail as software does. It doesn’t throw clean error codes or follow predictable execution paths. It drifts, hallucinates, and degrades in ways that are often subtle, intermittent, and hard to reproduce. The result is a growing gap between what teams think observability should provide and what current tools actually deliver. The uncomfortable truth? The AI observability tools we have today are built for yesterday’s problems. To understand where the industry is headed, we need to look at where it is today and why that’s not enough. AI observability today: The era of evals Today’s AI observability landscape is dominated by one concept: evaluation. Most tools focus on scoring model outputs after the fact. They rely on test datasets, human graders, or, increasingly, “LLM-as-a-judge” approach

Enterprise Document Intelligence [Vol.1 #7bis] - Tobi Lütke and Andrej Karpathy named the practice in 2025. For a single document, each brick emits typed pieces that converge on one LLM call. Corpus, conversation, and tool extensions are follow-up work The post Context Engineering for RAG : The Four Typed Inputs Behind Every RAG Answer appeared first on Towards Data Science.

June 25, 2026 — Mistral has announced the release of Mistral OCR 4, featuring bounding boxes, block classification, and inline confidence scores alongside extracted text. The model supports 170 languages across […] The post Mistral Unveils OCR 4 for Enterprise Search, RAG and Document Processing appeared first on AIwire.

Enterprise Document Intelligence [Vol.1 #7C] - One LLM call ranks the candidates with reasons. The output is one typed object your auditor can defend The post Letting an LLM Pick the Right RAG Page: The Arbiter Pattern at the End of Retrieval appeared first on Towards Data Science.

A persuasive essay is a type of academic writing that takes a very strong position on an issue and uses a mix of evidence, reasoning, and rhetorical techniques to defend it.

In this article, you will learn why a large context window is not the same thing as agent memory, and how techniques like retrieval, compression,...