RAG Architecture | Scalable Architecture for LLMs

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  • čas přidán 27. 07. 2024
  • This video covers how to create a scalable architecture for LLMs using RAG (Retrieval Augmented Generation)
    📌 Related Links
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    🔗 AI Primer Playlist - • AI Primer
    ⏱ Chapter Timestamps
    ====================
    00:00 - Intro
    00:05 - Agenda
    00:36 - What is RAG?
    02:12 - RAG Architecture
    06:20 - Types of RAG Architectures
    06:27 - Case Study: RAG in Document Search
    08:27 - Case Study: RAG in AI Assistant for Chat Support (Food Delivery)
    11:15 - Pros and Cons of RAG
    12:44 - Trivia Question!
    13:28 - Summary
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Komentáře • 16

  • @ravideviceregunta5794
    @ravideviceregunta5794 Před 26 dny +1

    The Best RAG architecture video ever seen…. Lot of people are complicate the concept a lot…
    Could you do another video with the how prompt is compared with embeddings and measured accurate results…

  • @ramkarlapudi662
    @ramkarlapudi662 Před 2 měsíci +1

    Option 4

  • @ravi1341975
    @ravi1341975 Před 2 měsíci +1

    Option 4: Enhancing search results with relevant context

  • @abhijitprusty
    @abhijitprusty Před 2 měsíci +1

    What is required to be a prompt engineer , it would be really nice if you could share some info. Once again, great to see your vides again

    • @TechPrimers
      @TechPrimers  Před 2 měsíci

      Sure Abhijit. It needs a mix of datascience and AI knowledge. Take a look at this datasciencedojo.com/blog/prompt-engineer/#:~:text=5%20essential%20skills%20for%20becoming%20a%20prompt%20engineer,knowledge%20...%205%205.%20Data%20analysis%20experience%20. Glad to be back😀

  • @java-aws-techie
    @java-aws-techie Před 2 měsíci +1

    Option 3 - Translating text between languages

    • @TechPrimers
      @TechPrimers  Před 2 měsíci

      Unfortunately no. Read through the options again. Clue lies in the texts itself 😁

    • @java-aws-techie
      @java-aws-techie Před 2 měsíci +1

      Got it - option 4: Enhancing search results with relevant context

    • @blasttrash
      @blasttrash Před 2 měsíci +1

      I think Option - 2 coz he used that in example-2 earlier.

    • @TechPrimers
      @TechPrimers  Před 2 měsíci

      Actually its option 4, since RAG helps in both enhancing search results (by the LLM) and with relevant Context (by the Retrieval mechanism).

  • @amithraju830
    @amithraju830 Před 2 měsíci +1

    Very difficult to understand need more simplification

    • @TechPrimers
      @TechPrimers  Před 2 měsíci +3

      Sure Amith. When we get to handson part this will get better

  • @sayanstrsc.7272
    @sayanstrsc.7272 Před 2 měsíci +1

    🙏 Please remove that "thang thang" bell sound on subscribe request! Please remove that 🙏 Not useful, rather annoying, doesn't suit this channel or the kind of viewers of this channel!

    • @TechPrimers
      @TechPrimers  Před měsícem

      done buddy. changed in all the new videos :)