Change Details

Research would like to start working with OpenSearch, to experiment with vector embeddings. This would be a good opportunity for Search and Research get hands on experience with this kind of search.

Research would like to start working with OpenSearch, to experiment with vector embeddings. This would be a good opportunity for Search and Research get hands on experience with this kind of search. I would suggest the following (sub) tasks: * [ ] create an instance/a cluster * [ ] set up an index that resembles one of our content indices * vector creation: * [ ] [Option A] [configure an ingestion pipeline](https://docs.opensearch.org/latest/ingest-pipelines/processors/text-embedding/) to create embeddings server-side * [ ] [Option B] calculate the vectors client-side (jupyter?)

Research would like to start working with OpenSearch, to experiment with vector embeddings. This would be a good opportunity for Search and Research get hands on experience with this kind of search. I would suggest the following (sub) tasks: * [ ] create an instance/a cluster * [ ] set up an index that resembles one of our content indices * vector creation: * [ ] [Option A] [configure an ingestion pipeline](https://docs.opensearch.org/latest/ingest-pipelines/processors/text-embedding/) to create embeddings server-side * [ ] [Option B] calculate the vectors client-side (jupyter?)