Implementing Custom BERT-Based Text Embedding Model for Semantic Search in Elasticsearch

Elastic Stack Elasticsearch
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Hello everyone,

I'm exploring the possibility of setting up a custom text embedding model using the BERT architecture for semantic search within Elasticsearch. I'm curious if it's feasible to integrate a personalized text embedding model into Elasticsearch for semantic search purposes. Has anyone attempted or achieved this before? Any insights or guidance on this topic would be greatly appreciated.

Thank you!

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Hi @Ali_Zare Welcome to the community.

Elasticsearch definitely supports Bring Your Own Model

Perhaps take a look here

Your model will need to adhere to one of the supported standards/architecture

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