weaviate/wiki-sample

该数据集是一个维基百科样本数据集，支持多种向量嵌入模型。用户可以选择加载不带向量嵌入的原始数据，或者加载带有特定向量嵌入模型的数据。支持的向量嵌入模型包括AWS的titan-embed-text-v2、Cohere的embed-multilingual-v3、OpenAI的text-embedding-3-small和text-embedding-3-large，以及Snowflake的snowflake-arctic-embed。每种配置都提供了相应的代码示例，展示了如何加载数据集并配置Weaviate集合。

This dataset is a Wikipedia sample dataset that supports multiple vector embedding models. Users can choose to load the raw data without vector embeddings or load data with specific vector embedding models. Supported vector embedding models include AWSs titan-embed-text-v2, Coheres embed-multilingual-v3, OpenAIs text-embedding-3-small and text-embedding-3-large, and Snowflakes snowflake-arctic-embed. Each configuration provides corresponding code examples showing how to load the dataset and configure Weaviate collections.