RagAI Technical Publications

Insights on Retrieval AI & Neural Media

Explore architectural breakdowns, hybrid vector search algorithms, optical document layout normalization, and production AI engineering.

The Architecture of Modern Retrieval-Augmented Generation (RAG): Beyond Basic Semantic Search
Featured Article
RAG & AI Architecture•9 min read

The Architecture of Modern Retrieval-Augmented Generation (RAG): Beyond Basic Semantic Search

A comprehensive architectural deep-dive into next-generation enterprise RAG systems. Explore how moving beyond naive semantic vector similarity to multi-stage cross-encoder reranking, sparse BM25 fusion, and contextual metadata chunking eliminates hallucination and guarantees sub-second factual verification across millions of complex enterprise documents.

RagAI Engineering Team
RagAI Engineering Team
Sep 6, 2026
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Eliminating Hallucinations in LLMs: Source Citations and Grounded Responses
AI Safety & Alignment
6 min read•Sep 9, 2026

Eliminating Hallucinations in LLMs: Source Citations and Grounded Responses

Explore the battle-tested engineering techniques RagAI uses to eradicate hallucination in generative language models. From cryptographic citation verification and attention weight alignment to strict context gating and automated contradiction detection, discover how to build 100% auditable AI answers for mission-critical enterprise workflows.

RagAI Engineering Team
RagAI Engineering Team
Head of AI Safety & Alignment
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