RAG Architecture
Designing Retrieval-Augmented Generation systems that combine large language models with external knowledge bases for accurate, grounded AI responses.
1
Linked Jobs
0
Current Skill
1
Future-Proof
Why It Matters
Enterprise AI adoption depends on grounding LLM outputs in real data; engineers who can architect reliable RAG pipelines are critical to deploying AI that organizations actually trust.
How to Get Started
Build a RAG pipeline using LangChain or LlamaIndex with a vector database like Pinecone or Weaviate, and study the original RAG paper by Lewis et al. for foundational understanding.
Future-Proof This Skill For
Related Skills
Build your RAG Architecture skills
Get a personalized 4-week action plan, AI prompts, and skills tracking in the app.
Download Free on iOS