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https://github.com/gurpreetkaurjethra/building-rag-with-openai-gpt-4o-omni-model-using-objectbox-vector-database

Building RAG With OpenAI GPT-4o(omni) Model Using Objectbox Vector Database
https://github.com/gurpreetkaurjethra/building-rag-with-openai-gpt-4o-omni-model-using-objectbox-vector-database

generative-ai gpt4 gpt4o large-language-models llms objectbox openai openapi rag vector-database

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

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# 🌟Building RAG With OpenAI GPT-4o(omni) Model Using Objectbox Vector Database💎💫⚡🎯

## Description📝:
- `OpenAI GPT-4o model` is used 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.

## Links🔗:
- [Docs:📚](https://docs.objectbox.io/ann-vector-search)
- [Github Code⚡💻](https://github.com/GURPREETKAURJETHRA/Building-RAG-With-OpenAI-GPT-4o-omni-Model-Using-Objectbox-Vector-Database/blob/main/GPT4o_Lanchain_RAG.ipynb)