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SpringAI用嵌入模型操作向量数据库!
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Google AI Introduces Gemini Embedding: A Novel Embedding Model Initialized from the Powerful Gemini Large Language Model
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Snowflake Releases Arctic Embed L 2.0 and Arctic Embed M 2.0: A Set of Extremely Strong Yet Small Embedding Models for English and Multilingual Retrieval
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Jina AI Introduces Jina-CLIP v2: A 0.9B Multilingual Multimodal Embedding Model that Connects Image with Text in 89 Languages
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套娃嵌入:如何优化向量搜索成本,并兼顾延迟与召回
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使用MongoDB构建AI:Jina AI将突破性开源嵌入模型变为现实
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Voyage AI Introduces Voyage-3 and Voyage-3-Lite: A New Generation of Small Embedding Models that Outperforms OpenAI v3 Large by 7.55%
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Marqo Releases Marqo-FashionCLIP and Marqo-FashionSigLIP: A Family of Embedding Models for E-Commerce and Retail
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Embeddings or LLMs: What’s Best for Detecting Code Clones Across Languages?
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Nvidia AI Introduces NV-Retriever-v1: An Embedding Model Optimized for Retrieval
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Jina AI将LLM Reranker延迟打下来了:21秒变3秒!
PaperAgent
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Indian language RAG with Cohere multilingual embeddings and Anthropic Claude 3 on Amazon Bedrock
AWS Machine Learning Blog
2024-07-03T05:50:37.000000Z
OpenAI最新套娃嵌入模型分析:256维的MTEB效果超过1536维
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Are Vector DBs the Future Data Platform for AI? with Ed Anuff - #664
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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