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.
From the blog
How to Get Your Small Business Ready for AI
You keep hearing about Artificial Intelligence (AI) and wonder what it’s got to do with your business. The buzz is strong and it definitely sounds exciting, but is this big, must-go party exclusively for multibillion-dollar companies, or can small businesses get an invite, too?
Ane Guzman
Contributor
AI Chatbots for SaaS: Scaling Support Without Hiring
Struggling to scale your SaaS company due to a lack of customer support? See how AI Chatbots for SaaS companies can help significantly.
Herman Schutte
Founder