How to cut RAG latency in half
Most teams know their RAG systems are slower than they should be. They just don’t always know where the latency comes from. Even small architectural choices can compound into major delays. This playbook breaks down what actually moved the needle.
How We Cut RAG Latency in Half is a concise, executive-level walkthrough of the architectural shift, model strategy, and benchmark results behind a measurable reduction in RAG end-to-end latency.
Inside, you’ll learn how to:
- Pinpoint major latency contributors using real benchmark data, including how query rewriting affected overall performance
- Understand the impact of model racing and why running multiple models in parallel improved both speed and experience
- Compare before-and-after architectures to see how small structural adjustments led to significant latency improvements
- Interpret real RAG latency distributions across percentiles to understand where your own system may be bottlenecked
- Apply the insights to your own stack with practical takeaways based on what demonstrably worked in production
Get the real benchmark data, architectural lessons, and practical insights that engineering teams can use to improve responsiveness in their own RAG systems.
Most teams know their RAG systems are slower than they should be. They just don’t always know where the latency comes from. Even small architectural choices can compound into major delays. This playbook breaks down what actually moved the needle.
How We Cut RAG Latency in Half is a concise, executive-level walkthrough of the architectural shift, model strategy, and benchmark results behind a measurable reduction in RAG end-to-end latency.
Inside, you’ll learn how to:
- Pinpoint major latency contributors using real benchmark data, including how query rewriting affected overall performance
- Understand the impact of model racing and why running multiple models in parallel improved both speed and experience
- Compare before-and-after architectures to see how small structural adjustments led to significant latency improvements
- Interpret real RAG latency distributions across percentiles to understand where your own system may be bottlenecked
- Apply the insights to your own stack with practical takeaways based on what demonstrably worked in production
Get the real benchmark data, architectural lessons, and practical insights that engineering teams can use to improve responsiveness in their own RAG systems.
Most teams know their RAG systems are slower than they should be. They just don’t always know where the latency comes from. Even small architectural choices can compound into major delays. This playbook breaks down what actually moved the needle.
How We Cut RAG Latency in Half is a concise, executive-level walkthrough of the architectural shift, model strategy, and benchmark results behind a measurable reduction in RAG end-to-end latency.
Inside, you’ll learn how to:
- Pinpoint major latency contributors using real benchmark data, including how query rewriting affected overall performance
- Understand the impact of model racing and why running multiple models in parallel improved both speed and experience
- Compare before-and-after architectures to see how small structural adjustments led to significant latency improvements
- Interpret real RAG latency distributions across percentiles to understand where your own system may be bottlenecked
- Apply the insights to your own stack with practical takeaways based on what demonstrably worked in production
Get the real benchmark data, architectural lessons, and practical insights that engineering teams can use to improve responsiveness in their own RAG systems.