Knowledge²
Retrieval OptimizationAlign generic models to your specific business data.LLM Cost OptimizationEliminate waste by reusing answers.Agent OptimizationStop re-planning workflows from scratch.
OverviewK² Retrieval StackUnified dense, sparse, and reranker models.
Stack componentsDense + Sparse RetrieversDual encoders tuned on real production queries.Reranker ModelsLightweight cross-encoders for precise scoring.Fusion ModelsLearned blending that outperforms heuristic fusion.
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WhitepapersDownload the Knowledge² research whitepapers.
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BlogsAnnouncements, product updates, and lessons from the field.
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About Knowledge²Who we are and how we build with customers.CareersJoin a lean team focused on measurable impact.

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Knowledge² blog

April 16, 2025•12 min read

The Painful Reality of Enterprise RAG (And Why We Built K²)

Why off-the-shelf RAG pipelines fail under real-world constraints, and how Knowledge² is rebuilding the retrieval stack.

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Bring a corpus, a stack, and the problems keeping you up at night. We will help you tune signals, benchmark improvements, and hand off everything your team needs to run in production.

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Knowledge²

Retrieval models, evaluation loops, and playbooks built for teams squeezing every ounce of signal out of their data.

Platform

Retrieval OptimizationLLM Cost OptimizationAgent Optimization

Product

K² Retrieval StackDense + Sparse RetrieversReranker ModelsFusion Models

Resources

AboutCareersWhitepaperBlog

Company

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