multimodal-image-retrieval
多模态检索实战：意图识别、Prompt 工程、Qwen LoRA、EmbeddingGemma 2 与 InfoNCE 对比学习。含真实演示、自有数据接入、训练评测及 RAG 检索组件学习指南。
Search for similar products using images or text and learn about multi-modal retrieval techniques.
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Free · no card · unsubscribe anytime多模态检索实战：意图识别、Prompt 工程、Qwen LoRA、EmbeddingGemma 2 与 InfoNCE 对比学习。含真实演示、自有数据接入、训练评测及 RAG 检索组件学习指南。
multimodal-image-retrieval has 129 stars on GitHub. multimodal-image-retrieval is written mainly in Python. It has been in active development since 2026. multimodal-image-retrieval is available under the MIT license. Its main topics are agent-tools, clip, contrastive-learning, ecommerce.
What is multimodal-image-retrieval?
多模态检索实战：意图识别、Prompt 工程、Qwen LoRA、EmbeddingGemma 2 与 InfoNCE 对比学习。含真实演示、自有数据接入、训练评测及 RAG 检索组件学习指南。
Is multimodal-image-retrieval open source?
multimodal-image-retrieval is an open-source project. It is released under the MIT license.
Is multimodal-image-retrieval free?
Yes. multimodal-image-retrieval is free and open source — you can use, modify and self-host it.
What license does multimodal-image-retrieval use?
multimodal-image-retrieval is available under the MIT license.
What language is multimodal-image-retrieval written in?
multimodal-image-retrieval is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.