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https://issues.apache.org/jira/browse/CAMEL-21696?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17923988#comment-17923988
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Zineb Bendhiba commented on CAMEL-21696:
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After investigating, we don't decode with the Langchain4j Embedding Model.
What we need to do is to create another data transformer in the vector
databases components to retrieve the text, as created with the Embedding Data
Transformer.
I already done some code for Qdrant and ready to push something for Camel 4.10
. I can't quickly do same with Neo4j.
I will move this Jira to 4.11 and will open as many issues as needed for the
camel vector database component. This one is to be closed when all tasks are
complete
> Langchain4j Embeddings - decode Embeddings
> ------------------------------------------
>
> Key: CAMEL-21696
> URL: https://issues.apache.org/jira/browse/CAMEL-21696
> Project: Camel
> Issue Type: New Feature
> Components: camel-ai
> Reporter: Zineb Bendhiba
> Assignee: Zineb Bendhiba
> Priority: Major
> Fix For: 4.10.0
>
>
> When retrieving embeddings with similarity search, they need to be decoded
> back to String
>
> This is for RAG
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