Modern ETL for Text Vector Data Using Apache SeaTunnel and Opensearch
summary
Shows how to build a real‑time semantic search pipeline by converting text fields to dense embedding vectors with an embedding service during the Transform stage of Apache SeaTunnel and writing those vectors plus IDs, tags and metadata into OpenSearch (using SeaTunnel’s OpenSearch Sink) to enable ANN vector retrieval for semantic-level information retrieval.
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