Build RAG on infrastructure that won’t cost you later.
451 Research documents how OpenSearch reduces LLM inference costs, cuts hallucinations, and scales RAG pipelines from prototype to production. Apache 2.0. No fees
Pairs with any LLM without licensing overhead
Self-hosted or managed — Apache 2.0, no restrictions
Reduces hallucinations with enterprise-grade retrieval at scale
Independent research by 451 Research / S&P Global | Commissioned by Linux Foundation
What the report covers
RAG infrastructure
How vector databases paired with LLMs reduce hallucinations, provide session memory, and cut repeated LLM query costs.
Hybrid search at scale
Combining lexical precision with semantic understanding in a single pipeline, built for enterprise data volumes.
Agentic search
Supporting multi-step agent workflows where OpenSearch plans, reasons, and retrieves across complex questions.
From lexical to semantic
Build RAG on infrastructure that won’t cost you later.
451 Research documents how OpenSearch reduces LLM inference costs, cuts hallucinations, and scales RAG pipelines from prototype to production. Apache 2.0. No fees
Pairs with any LLM without licensing overhead
Self-hosted or managed — Apache 2.0, no restrictions
Reduces hallucinations with enterprise-grade retrieval at scale
Independent research by 451 Research / S&P Global | Commissioned by Linux Foundation
