Small realisation while learning these concepts
I initially assumed concepts like RAG and Vector Databases were hardcore AI/ML topics.
Turns out, at a high level, they’re actually quite intuitive.
• RAG → works like a knowledge base for an agent, giving it context from company docs, FAQs, or policies.
• Vector Databases → store information as numerical representations so similar information can be retrieved efficiently.
Understanding them conceptually made things feel far less intimidating.
Sharing in case this helps another beginner.