# Building Enterprise RAG Solutions

> Free 30-minute video lesson on production RAG architecture, security, and scaling.

Building Enterprise RAG Solutions is a recorded Maven Lightning Lesson taught by Hamza Farooq (Founder of Traversaal.ai and adjunct professor at Stanford and UCLA). It covers the transition from basic RAG prototypes to enterprise-ready deployments, focusing on query rewriting, document caching, access control, and latency management. It serves as a concise primer for engineers designing production retrieval systems or preparing for AI system design interviews.

Website: https://maven.com/p/f4bbc2/building-enterprise-rag-solutions

## What it is for

- Learn the architectural differences between prototype RAG and enterprise RAG
- Prepare for AI engineering technical interviews on LLM system design
- Implement access control, guardrails, and compliance in LLM retrieval pipelines
- Address latency and caching issues in production search systems

## Features

- Covers the 5 core components of basic vs. enterprise RAG systems
- Security breakdown including user authentication, access control, and guardrails
- Techniques for query rewriting and intent understanding
- Strategies for document ingestion, caching, and re-ranking
- System observability and monitoring best practices
- Interactive Q&A addressing latency, Amazon Bedrock, and hybrid search with OpenSearch

## Pricing

Free to watch with Maven registration

## Details

- Type: Article or course
- Category: [Learning](https://xiry.app/topics/learning.md)
- Topic: [AI Courses](https://xiry.app/topics/learning/ai-courses.md)
- Open source: no
- Platforms: Web
- For: AI engineers, software architects, and technical leads deploying LLMs in production
- Alternative to: DeepLearning.AI short courses, Coursera GenAI courses
- Tags: rag, llm, enterprise ai, system design, maven, vector search

## Why it was saved

- [@mavenhq, 28 January 2026](https://www.instagram.com/reel/DUD35g_kQup/): Teaches how companies architect scalable enterprise RAG systems, essential for production deployments and AI engineering technical interviews.

## Compare

- [Alternatives to DeepLearning.AI short courses](https://xiry.app/alternatives/deeplearning-ai-short-courses.md)

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Updated 3 October 2026. Page: https://xiry.app/resources/building-enterprise-rag-solutions

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