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add youtube transcript example
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@@ -14,7 +14,7 @@ We'll also use a container to ship our Lambda code. This is a good option for La
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# Initial setup: creating a LanceDB Table and storing it remotely on S3
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# Initial setup: creating a LanceDB Table and storing it remotely on S3
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We'll use the SIFT vector dataset as an example. To make it easier, we've already made a Lance-format SIFT dataset publically available, which we can access and use to populate our LanceDB Table.
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We'll use the SIFT vector dataset as an example. To make it easier, we've already made a Lance-format SIFT dataset publicly available, which we can access and use to populate our LanceDB Table.
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To do this, download the Lance files locally first from:
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To do this, download the Lance files locally first from:
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@@ -91,9 +91,9 @@ def handler(event, context):
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}
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}
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```
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```
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# Deploying the container to EKS
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# Deploying the container to ECR
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The next step is to build and push the container to EKS, where it can then be used to create a new Lambda function.
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The next step is to build and push the container to ECR, where it can then be used to create a new Lambda function.
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It's best to follow the official AWS documentation for how to do this, which you can view here:
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It's best to follow the official AWS documentation for how to do this, which you can view here:
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7
docs/src/examples/youtube_transcript_search.md
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7
docs/src/examples/youtube_transcript_search.md
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# YouTube transcript search
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## Search through youtube transcripts using natural language with LanceDB
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<img id="splash" width="400" alt="youtube transcript search" src="https://user-images.githubusercontent.com/917119/236580868-61a246a9-e587-4c2b-8ae5-6fe5f7b7e81e.png">
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This example is in a [notebook](https://github.com/lancedb/lancedb/blob/main/notebooks/youtube_transcript_search.ipynb)
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