Quick Recap on RAG and Vector Databases.
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.
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Rishi Raj
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Quick Recap on RAG and Vector Databases.
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