Michael Heldebrant
Solutions Architect
Solutions Architect
Michael is a solutions architect who works with customers on architecting real-time data ingest, search, and analytics solutions using the Elastic Stack. He has 20+ years of experience in information technology spanning biomedical research, health care, and digital Hollywood production.
Chunking large documents via ingest pipelines plus nested vectors equals easy passage search
Elasticsearch Labs
Chunking large documents via ingest pipelines plus nested vectors equals easy passage search
Learn how to chunk large documents using ingest pipelines and nested vectors in Elasticsearch for easy passage search in vector search.