Building RAG With OpenAI GPT-4o(omni) Model Using Objectbox Vector Database

In this video we will be using OpenAI GPT-4o model for creating a RAG application using Object Vector Database.GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction-it accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time(opens in a new window) in a conversation. It matches GPT-4 Turbo performance on text in English and code, with significant improvement on text in non-English languages, while also being much faster and 50% cheaper in the API. GPT-4o is especially better at vision and audio understanding compared to existing models.
Docs: docs.objectbox.io/ann-vector-...
github code: github.com/krishnaik06/Update...
------------------------------------------------------------------------
Support me by joining membership so that I can upload these kind of videos
/ @krishnaik06
-----------------------------------------------------------------------------------
►GenAI on AWS Cloud Playlist: • Generative AI In AWS-A...
►Llamindex Playlist: • Announcing LlamaIndex ...
►Google Gemini Playlist: • Google Is On Another L...
►Langchain Playlist: • Amazing Langchain Seri...
►Data Science Projects:
• Now you Can Crack Any ...
►Learn In One Tutorials
Statistics in 6 hours: • Complete Statistics Fo...
End To End RAG LLM APP Using LlamaIndex And OpenAI- Indexing And Querying Multiple Pdf's
Machine Learning In 6 Hours: • Complete Machine Learn...
Deep Learning 5 hours : • Deep Learning Indepth ...
►Learn In a Week Playlist
Statistics: • Live Day 1- Introducti...
Machine Learning : • Announcing 7 Days Live...
Deep Learning: • 5 Days Live Deep Learn...
NLP : • Announcing NLP Live co...
---------------------------------------------------------------------------------------------------
My Recording Gear
Laptop: amzn.to/4886inY
Office Desk : amzn.to/48nAWcO
Camera: amzn.to/3vcEIHS
Writing Pad:amzn.to/3OuXq41
Monitor: amzn.to/3vcEIHS
Audio Accessories: amzn.to/48nbgxD
Audio Mic: amzn.to/48nbgxD

Пікірлер: 15

  • @generativegeek
    @generativegeekАй бұрын

    you are an inspiration for new channels like mine, Krish. May god bless you.

  • @FAX_41
    @FAX_41Ай бұрын

    brilliant video as always, keep continuing the grind

  • @sashankachakraborty8714
    @sashankachakraborty8714Ай бұрын

    Nice 😊

  • @CodeCraftsman
    @CodeCraftsmanАй бұрын

    Hi Krish, Thanks for creating amazing tuts on RAG and LangChain. I have been following your Langchain series form start, can you upload few videos on Image or video RAG Pipeline? Thanks God Bless you sir 🙏🙏🙏🙏

  • @ArmanMalik-sn5lr
    @ArmanMalik-sn5lrАй бұрын

    Tremendous Krish🎉 And also please make a video on Building RAG with Gemini Flash model

  • @ArmanMalik-sn5lr
    @ArmanMalik-sn5lrАй бұрын

    I made a chatbot using RAG but when I retrieve my data from the vector database, it does not give proper results. I want it to give the same result from my provided data. So which prompt do I have to use.

  • @fkeb37e9w0
    @fkeb37e9w028 күн бұрын

    I am not able to pull rag promt from the hub, do we need any langchain/langsmith api key?

  • @pranavjain2938
    @pranavjain2938Ай бұрын

    How can we use this to get search results relevance scores?

  • @atp700
    @atp700Ай бұрын

    Sir why are you not there in pw skills

  • @harilakshman2048
    @harilakshman2048Ай бұрын

    can someone guide about how to make this as an webapp or to host somewhere please

  • @saikashyapcheruku6103
    @saikashyapcheruku6103Ай бұрын

    Is it RAG if I retrieve context from a vectordb using a set of queries which are subquestions derived from the prompt?

  • @generativegeek

    @generativegeek

    Ай бұрын

    yes. something like this should qualify. kzread.info/dash/bejne/ZnaN0ZqhnKS7erw.html

  • @priyashikumari3745
    @priyashikumari3745Ай бұрын

    Is the OpenAI GPT-4o api key now available for everyone to test the model?

  • @Dis-Trackted

    @Dis-Trackted

    Ай бұрын

    Nope. You need to ask for your own. A few dollars should suffice

  • @HDSV10
    @HDSV10Ай бұрын

    Chat Q n A with KZread video transcript by uploading yt link + multilingual text to speech sir make this project video