A Deep Dive into RAG Fusion
(Fusion Search Category)
RAG fusion determines whether retrieved evidence meaningfully improves generated answers, yet many teams struggle to manage context, control evidence flow, and measure true output quality.
To win, your RAG implementations must deliberately fuse retrieval and generation into a single, controllable system.
Teams building RAG-based systems frequently encounter:
- Loose coupling: Retrieval and generation steps that operate independently, reducing answer quality.
- Context overload: Ineffective management of context windows that dilutes relevant evidence.
- Unclear accuracy: Difficulty measuring whether fused outputs are actually correct and grounded.
Weak RAG fusion leads to hallucinations, wasted context, and unreliable generated answers.
In this hands-on workshop, your team designs and evaluates RAG fusion approaches that tightly integrate retrieval, context management, and generation.
- Understand core RAG fusion mechanisms and how they differ from basic RAG pipelines.
- Configure retrieval and generation steps to work as a unified flow.
- Manage context windows to prioritize the most relevant retrieved evidence.
- Control the flow of retrieved evidence into generation prompts.
- Measure fused output accuracy to support reliable production use.
- Understanding RAG Fusion Mechanisms
- Configuring Retrieval + Generation Steps
- Managing Context Windows in Fusion
- Controlling Flow of Retrieved Evidence
- Measuring Fused Output Accuracy
- Understand how effective RAG fusion improves answer quality.
- Design integrated retrieval and generation workflows.
- Manage context windows to maximize relevance and grounding.
- Control how retrieved evidence influences generated outputs.
- Evaluate fused responses for accuracy and reliability.
Who Should Attend:
Solution Essentials
Virtual or in-person
4 hours
Intermediate; experience with RAG or retrieval systems recommended
RAG pipelines, context management techniques, evaluation frameworks