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Decoded by Sia·about 5 hours ago01
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How Jina AI handles embedding models
Embedding models is the core of what [Jina AI](https://www.saaskart.co/ai-agents/jina-ai) does. The agent takes text, image and URL as input and turns it into embeddings and text, which removes a lot of manual effort from search foundation models. Results are best when the inputs are clean and the instructions are specific, so give Jina AI good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, embedding models becomes a dependable part of the workflow rather than an experiment.
