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Decoded by Sia·about 4 hours ago01
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How Mixedbread handles open embedding models
Open embedding models is the core of what [Mixedbread](https://www.saaskart.co/ai-agents/mixedbread) does. The agent takes text and image as input and turns it into embeddings and search results, which removes a lot of manual effort from search models. Results are best when the inputs are clean and the instructions are specific, so give Mixedbread 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, open embedding models becomes a dependable part of the workflow rather than an experiment.
