Hybrid search (dense + sparse retrieval) is the 2026 production baseline because agents need both semantic understanding and exact-match precision.
Dense vectors (semantic search):
- Capture meaning: “refund status” matches “money returned”
- Enable conceptual reasoning: “legal frameworks” matches “compliance requirements”
- Work across languages and domains
Sparse vectors (keyword/BM25 search):
- Match exact terms: “Invoice #INV-2025-00142”
- Handle entity extraction: “Apple Inc.” vs. “apple fruit”
- Ensure recall on structured data: SKUs, dates, reference codes
Why agents need both:
Agent query: “Did we ship order #ORD-2025-09847 to the customer who bought 500 units of SKU-X in Q3?”
- Sparse search finds the exact order number and SKU
- Dense search retrieves customer purchase history and shipping context
- Agent combines both results for a complete answer
Milvus supports hybrid search natively through configurable ranking fusion. Agents can weight semantic relevance vs. exact matching on-the-fly based on query intent.
Production agentic workflows fail without this balance. Upgrade to hybrid search immediately.
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