A Deep Dive into Hybrid Search
(Fusion Search Category)
Hybrid search promises stronger relevance by fusing multiple retrieval approaches, but many teams struggle to score, merge, tune, and evaluate these systems holistically.
To win, your search platform must blend sparse and dense retrieval into a single, well-tuned relevance system.
Teams adopting hybrid search commonly encounter:
- Fragmented retrieval: Separate sparse and dense pipelines that compete instead of complement each other.
- Unclear fusion logic: Scoring and merging strategies that are poorly understood and hard to tune.
- Weak evaluation: Difficulty assessing end-to-end search quality across different contexts and query types.
Without disciplined hybrid design, fusion search adds complexity without delivering consistent relevance gains.
In this hands-on workshop, your team designs and evaluates hybrid search systems that combine retrieval methods, tune fusion behavior, and measure holistic performance.
- Introduce hybrid retrieval models and when to apply them.
- Combine sparse and dense retrieval techniques within a unified search pipeline.
- Score and merge results from multiple retrieval pipelines.
- Tune fusion models across different query contexts and data types.
- Evaluate holistic search performance beyond single-metric relevance.
- Introducing Hybrid Retrieval Models
- Combining Sparse and Dense Retrieval
- Scoring and Merging Results from Pipelines
- Tuning Fusion Models Across Contexts
- Evaluating Holistic Search Performance
- Understand when hybrid search outperforms single-mode retrieval.
- Design pipelines that effectively combine sparse and dense methods.
- Apply scoring and merging strategies with clear intent.
- Tune fusion behavior to improve relevance across contexts.
- Evaluate search systems holistically using meaningful performance signals.
Who Should Attend:
Solution Essentials
Virtual or in-person
4 hours
Intermediate; experience with search systems recommended
Sparse and dense retrieval pipelines, fusion models, evaluation frameworks