Image embeddings on GCP#19
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…st filter clause.
…lar is handled with the knn special case.
Fixes no similar results because of:
```
"filter": {
"bool": {
"must": [
{
"match": {
"similar": {
"query": "f7bfe3925ac6562dbb7428e32b36c9f5e605a434",
"operator": "AND"
}
}
}
],
```
…alatiry in place.
…ng probably make sense.
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What does this change?
Implements the More Like This and semantic search features using GCP APIs rather than AWS Bedrock.
Uses Gemini Embedding 2 as the model.
Scales uploaded images using ImageOperations before submitting them to the prediction API.
Every image is scaled rather than relying on the original or optimised image.
Does not need a separate Lambda.
How should a reviewer test this change?
How can success be measured?
Who should look at this?
Tested? Documented?