AI Engineering
How Retrieval-Augmented Generation (RAG) Improves Enterprise AI
Alex MercerPrincipal AI Engineer
8 Min Read•Updated July 12, 2026
1. Introduction
Retrieval-Augmented Generation (RAG) is the industry standard architecture for supplying Large Language Models with private, up-to-date company data. This article outlines the strategies used to scale ingestion engines and lower vector search latency.
2. Core System Architecture
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Frequently Asked Questions
Which vector stores are supported?↓
Our architectures integrate with Pinecone, pgvector, Qdrant, and Milvus, matching database requirements.