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

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!

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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