New serverless pattern - s3-lambda-bedrock-js-sam #2285
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parikhudit
reviewed
Jul 5, 2024
| Description: S3 bucket for storing documents | ||
| Value: !Ref DocumentBucket | ||
| DocumentEmbeddingFunction: | ||
| Value: !Ref DocumentEmbeddingFunction |
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This would not return an ARN but Function Name
parikhudit
reviewed
Jul 5, 2024
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| 1. Tail to the Lambda function log to get the logs | ||
| ``` | ||
| aws logs tail "/aws/lambda/DocumentEmbeddingFunction" --follow --format json |
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The function name DocumentEmbedding in CloudFormation output would not match DocumentEmbeddingFunction
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Issue #, if available:
Description of changes:
This pattern facilitates LLM RAG use cases by generating vector embeddings of documents in S3. When files are uploaded to S3, Lambda triggers, sending file contents to the Bedrock embedding model, which generates semantic vector embeddings for NLP tasks like semantic search, document clustering, or information retrieval.
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