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
Read Article

Latest Articles

Showing 2 of 2 articles

Designing Enterprise-Ready AI Assistants: Role-Based Access, Privacy & Scalability
Enterprise Systems
5 min read•Sep 12, 2026

Designing Enterprise-Ready AI Assistants: Role-Based Access, Privacy & Scalability

Architecting enterprise AI assistants requires far more than wrapping an LLM API. Learn how RagAI designs multi-tenant, secure AI platforms with document-level Role-Based Access Control (RBAC), tenant isolation, strict VPC boundaries, and distributed worker queues that effortlessly scale to thousands of concurrent users.

RagAI Enterprise Solutions
RagAI Enterprise Solutions
VP of Enterprise Engineering
Read
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
Read

Supercharge Your Knowledge Retrieval & Creative Workflows

Connect your documents, run multi-hop citation-grounded RAG queries, remove backgrounds with neural matting, and synthesize studio images in one unified workspace.