What is RAG? Use LLMs like ChatGPT with your data!
*NOTE*
This video was created before the big OpenAI DevDay '23 announcement. To get the latest info regarding what's now possible, check out this video: • OpenAI DevDay Announcement breakdown ...
In this video we'll cover:
1. What RAG (Retrieval Augmented Generation) actually is and why it matters for your business
2. Real-world applications of RAG that you can start using today.
3. How RAG actually works under the hood
I’ll also share a tip that could significantly cut down your costs when it comes to implementing RAG.
Additionally, I talk about the limitations of RAG and different ways to get started with it to super-charge your business with AI.
If you're looking to streamline your business operations, enhance your document analysis with AI, and use your data with ChatGPT, you're in the right place!
Mentioned products/libraries:
GPT Trainer: https://gpt-trainer.com/
Voiceflow: https://www.voiceflow.com/
LangChain: https://www.langchain.com/
Flowise: https://flowiseai.com/
Chapters
00:00 Intro
00:45 What RAG is
01:16 Usecases
02:47 How RAG works
04:36 The Bonus Tip
05:30 Tools & Libraries
05:12 The Results
06:47 Final thoughts
06:06 Takeaways
#RAG #ai #RAGAI #BusinessIntelligence #DocumentAnalysis #AIinBusiness #StreamlineOperations #DataManagement #ChatGPT #AIimplementation #CostSavingAI #AITools #BusinessAutomation #TechExplained #AIUseCases #OperationalEfficiency #Innovation #Voiceflow #LangChain #Flowise #GPTTrainer #AIForEnterprises
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