M7
Both Together
Hybrid retrieval
A hybrid retriever that combines lexical and semantic signals
Planned
Cohort
- Effort
- To be published
- Prerequisite
- M6
- Core concept
- Fusion and reranking
What you have
Two separate retrieval paths
What you gain
One ranked list combining both signals
What you build
The module is planned. It will combine the lexical and semantic retrieval paths into one ranked output.
- A fusion pipeline that combines lexical scores and vector scores
- Configurable weighting for retrieval signals
- Reranking logic for one final merged result list
What you learn
- How hybrid retrieval balances precision and recall
- Why signal fusion needs calibration rather than blind averaging
- How to inspect retrieval disagreements before merging scores
Artifact and workload
Primary artifact: Fusion pipeline with configurable weights
TestsTo be published
AssessmentsTo be published
Estimated timeTo be published
Access
This module is planned. Join the waitlist to hear when dates and access details are published.