How to move from keyword to hybrid to agentic search without rebuilding from scratch
This 451 Research report maps the path from lexical to semantic search, and what happens when you delay.
Most AI failures trace back to retrieval, not the model. This report shows engineering teams what it takes to build search infrastructure that holds up.
Which deployment model fits your compliance, cost, and control requirements
What retrieval quality actually means for LLM accuracy in production
35% of enterprises cite limited data access as a significant blocker to AI adoption.
THE EVOLUTION OF ENTERPRISE SEARCH
How enterprise search has changed. And where it needs to go.
Research by 451 Research / S&P Global | Commissioned by Linux Foundation
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Most AI failures trace back to retrieval, not the model. This report shows engineering teams what it takes to build search infrastructure that holds up.
Which deployment model fits your compliance, cost, and control requirements
What retrieval quality actually means for LLM accuracy in production
Research by 451 Research / S&P Global | Commissioned by The Linux Foundation
Keyword search today
Fails on synonyms and paraphrase
Hybrid search with OpenSearch
Lexical plus semantic in one query
Understands meaning, not just terms
Powers RAG and agentic workflows
Scales to enterprise data volumes
Apache 2.0 — no vendor lock-in
- Exact term matching
- Fast, predictable
- Breaks on synonyms
- Best for log search
SEMANTIC SEARCH
- Meaning-based retrieval
- Understands intent
- Higher compute cost
- Best for Q&A
What this report covers
Exact term matching only
Exact term matching only
Cannot synthesize multi-source answers
Exact term matching only
Exact term matching only
Cannot synthesize multi-source answers
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