[Verse 1] Your AI is smart but it doesn't know everything Corporate data sits in silos, not flowing Traditional models can't access what you need Time to teach your bot with RAG to succeed [Chorus] Retrieve, Augment, Generate - that's the way Vector database holds your knowledge today Chunk it up and embed it right Search and find what brings insight RAG will make your AI bright Teaching with your data's might [Verse 2] First you take your documents and break them down Chunking strategy splits the text around Not too big and not too small Five hundred words works best of all Each piece needs to stand alone So context isn't overthrown [Chorus] Retrieve, Augment, Generate - that's the way Vector database holds your knowledge today Chunk it up and embed it right Search and find what brings insight RAG will make your AI bright Teaching with your data's might [Verse 3] Embeddings turn your text to numbers now Mathematical vectors show you how Similar meaning clusters near In multi-dimensional sphere Store them in your vector store Ready when you need much more [Bridge] When users ask a question new First retrieve what's relevant and true Augment the prompt with context found Then generate answers that are sound Your custom knowledge powers through Making AI work just right for you [Chorus] Retrieve, Augment, Generate - that's the way Vector database holds your knowledge today Chunk it up and embed it right Search and find what brings insight RAG will make your AI bright Teaching with your data's might [Outro] No more generic responses bland Your data teaches, now AI understands RAG transforms the way we learn Custom knowledge at every turn
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