VDF_META.json

{
    "version": "0.1.313",
    "file_structure": [],
    "author": "dhruvanand",
    "exported_from": "reembed",
    "indexes": {
        "vdf_2024_9-11": [
            {
                "namespace": "",
                "index_name": "vdf_2024_9-11",
                "total_vector_count": 448358,
                "exported_vector_count": 448358,
                "dimensions": 384,
                "model_name": "huggingface/TaylorAI/bge-micro-v2",
                "vector_columns": [
                    "vec_Message_huggingface_TaylorAI_bge-micro-v2_dim384"
                ],
                "data_path": ".",
                "metric": null,
                "index_config": null,
                "schema_dict_str": "Timestamp: timestamp[ns]\nProvider: string\nProvider ID: string\nPriority: string\nCategory: string\nALPHA: string\nMessage: string\nTimestamps: timestamp[ns]\nMessage Length: int64\nvec_Message_huggingface_TaylorAI_bge-micro-v2_dim384: list<element: double>\n  child 0, element: double\nid: int64\n-- schema metadata --\npandas: '{\"index_columns\": [{\"kind\": \"range\", \"name\": null, \"start\": 0, \"' + 1650",
                "model_map": {
                    "vec_Message_huggingface_TaylorAI_bge-micro-v2_dim384": {
                        "model_name": "huggingface/TaylorAI/bge-micro-v2",
                        "text_column": "Message",
                        "dimensions": 384,
                        "vector_column": "vec_Message_huggingface_TaylorAI_bge-micro-v2_dim384"
                    }
                }
            }
        ]
    },
    "exported_at": "2024-04-21T01:24:57.732690+05:30",
    "id_column": "id"
}