What is Retrieval Fusion?
A technique that combines results from multiple retrieval methods to improve relevance and accuracy.
More about Retrieval Fusion:
Retrieval Fusion involves aggregating results from different retrieval methods, such as dense retrieval and sparse retrieval, to improve the quality of retrieved information. This technique ensures that relevant documents are not missed due to the limitations of any single retrieval method.
Retrieval fusion is commonly used in hybrid search, question answering, and retrieval augmentation pipelines, enhancing both recall and precision.
Frequently Asked Questions
What are the benefits of retrieval fusion?
It combines the strengths of multiple retrieval methods, increasing recall and improving relevance in search results.
How is retrieval fusion implemented?
By aggregating results from vector databases and term-based systems, or through score normalization and re-ranking.
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