Pash10g 2 weeks ago committed by GitHub
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@ -229,7 +229,7 @@
"id": "ShPbxQPaPvHD"
},
"source": [
"After executing the above, the documents in \"movies\" collection will contain an additional field of \"embedding\", as defined by the `EMBEDDDING_FIELD_NAME` variable, apart from already existing fields like title, plot, genres, cast, directors, etc."
"After executing the above, the documents in \"movies\" collection will contain an additional field of \"embedding\", as defined by the `EMBEDDING_FIELD_NAME` variable, apart from already existing fields like title, plot, genres, cast, directors, etc."
]
},
{
@ -238,7 +238,7 @@
"id": "Coq0tyjXyNIu"
},
"source": [
"Note: We are restricting this to just 500 documents in the interest of time. If you want to do this over the entire dataset of 23,000+ documents in our sample_mflix database, it will take a little while. Alternatively, you can use the [sample_mflix.embedded_movies collection](https://www.mongodb.com/docs/atlas/sample-data/sample-mflix/#sample_mflix.embedded_movies) which includes a pre-populated `plot_embedding` field that contains embeddings created using OpenAI's `text-embedding-3-small` embedding model that you can use with the Atlas Search vector search feature.\n",
"Note: We are restricting this to just 500 documents in the interest of time. If you want to do this over the entire dataset of 23,000+ documents in our sample_mflix database, it will take a little while. Alternatively, you can use the [sample_mflix.embedded_movies collection](https://www.mongodb.com/docs/atlas/sample-data/sample-mflix/#sample_mflix.embedded_movies) which includes a pre-populated `plot_embedding` field that contains embeddings created using OpenAI's `text-embedding-ada-002` embedding model that you can use with the Atlas Search vector search feature.\n",
"\n",
"\n"
]

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