OpenAI GPT-4o model
is used for creating aRAG application
usingObject 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.
-
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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
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