RAG Architectures Explained : Types, Trade Offs & Use Cases #genai #generativeai #aigenerated

In this SmartSkale Gen AI playlist video, we break down Comprehensive RAG Architectures and explain how to choose the right Retrieval-Augmented Generation design for real-world enterprise AI systems.

We cover Simple RAG, Hybrid RAG, Graph RAG, Agentic RAG, Multi-Vector RAG, and Hierarchical RAG, along with their pros, cons, latency implications, scalability considerations, and domain-specific deployment scenarios.

If you're preparing for Generative AI interviews, designing LLM-powered applications, or building production-grade AI systems, understanding RAG architecture trade-offs is critical.

You’ll learn:
When to use Hybrid vs Graph RAG
How Agentic RAG improves reasoning (but increases latency)
Why Multi-Vector and Hierarchical RAG improve large-scale retrieval
How to evaluate complexity vs performance in enterprise deployments

This video is ideal for AI engineers, ML practitioners, system architects, and tech leaders working with LLM applications.

Watch till the end for a structured comparison framework you can use in interviews and real-world system design.

"#RAG
#retrievalaugmentedgeneration
#llm
#generativeai
#aiarchitecture
#machinelearning
#llmengineering
#mlops
#graphrag
#agenticai
#vectordatabases
#aidevelopment
#aiinterviewpreparation
#enterpriseai
#smartskale

Видео RAG Architectures Explained : Types, Trade Offs & Use Cases #genai #generativeai #aigenerated канала SmartSkale