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Merge pull request #20 from mongodb-developer/temp-remove-aws
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Temporarily removing references to SageMaker while waiting for the im…
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joellord authored Feb 8, 2024
2 parents 339e981 + 653f590 commit 93dcd94
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1 change: 0 additions & 1 deletion docs/7-vector-search/4-import-data.mdx
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Expand Up @@ -12,7 +12,6 @@ The model that was used for each data set is listed below:
| -------- | ----- | ------------- |
| Google Cloud Vertex AI | multimodalembedding@001 | [Docs](https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-multimodal-embeddings) |
| OpenAI | text-embedding-ada-002 | [Docs](https://platform.openai.com/docs/guides/embeddings) |
| Amazon SageMaker | jumpstart-dft-hf-textembedding-all-minilm-l6-v2 | [Docs](https://docs.aws.amazon.com/sagemaker/latest/dg/object2vec-encoder-embeddings.html) |

## Import the embeddings

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113 changes: 0 additions & 113 deletions docs/7-vector-search/5-create-vectors/5-amazon-sagemaker.mdx

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2 changes: 1 addition & 1 deletion docs/7-vector-search/5-create-vectors/_category_.json
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@@ -1,6 +1,6 @@
{
"label": "🦸 Create Vectors",
"position": 3,
"position": 4,
"link": {
"type": "generated-index",
"description": "In this section, you'll learn how to create embeddings from various providers."
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17 changes: 0 additions & 17 deletions docs/7-vector-search/6-create-index.mdx
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Expand Up @@ -72,23 +72,6 @@ Select your database and the `books` collection, change the index name to `vecto
}
]
}
```

</TabItem>
<TabItem value="sagemaker" label="Amazon SageMaker">

```js
{
"type": "vectorSearch",
"fields":[
{
"type": "vector",
"path": "embeddings",
"numDimensions": 384,
"similarity": "cosine"
}
]
}
```

</TabItem>
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8 changes: 0 additions & 8 deletions docs/7-vector-search/8-add-to-app.mdx
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Expand Up @@ -39,14 +39,6 @@ EMBEDDINGS_SOURCE=googleVertex
EMBEDDING_KEY="./path_to_your_credentials.json"
PROJECT_ID=<Project ID>
PROJECT_LOCATION=<Project Location>
```

</TabItem>
<TabItem value="sagemaker" label="Amazon SageMaker">

```
EMBEDDINGS_SOURCE=sagemaker
API_KEY=<API_KEY>
```

</TabItem>
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