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Webinar | One Document, Many Vectors: Entity- and Element-Level Search with Milvus StructArray

Chloe Williams

Hi there,

Finding a matching passage is a start. To make it useful, applications need to show its source document and surrounding context, while keeping multiple matches from the same article from crowding the results.

Join us for a practical document-search demo with Milvus StructArray, using a public dataset and prepared embeddings. We’ll explore passage retrieval, filtering, and document grouping, then bring them together in a RAG workflow with citations.

📅 Wednesday, November 4, 2026
⏰ 11:00 AM PST / 2:00 PM ET / 7:00 PM UTC

🎙 Speaker: Rohit Nijhawan, Solutions Architect, Zilliz

What we’ll cover:

  • Model Documents with StructArray. Keep chunks, their embeddings, and associated metadata within each document.
  • Explore a Document-Search Demo. Compare title and passage searches, locate matching chunks, filter array elements, and group results by document.
  • Build RAG with Context and Citations. Assemble matching passages and neighboring chunks to generate cited answers.
  • Reuse Existing Embeddings. Migrate chunks without re-embedding them and understand when to keep a flat collection.
  • Live Q&A. Bring your questions about document search with Milvus StructArray.

Can’t make it live? Register anyway, and we’ll send you the recording.

Warm Regards,

The Zilliz Team

Zilliz Inc, 201 Redwood Shores Pkwy, Suite 330, Redwood City, CA 94065, United States