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
IT Help Desk Automation with SiteSpeakAI
In a world that’s constantly evolving, having a robust IT help desk is no longer a choice but a necessity for businesses. But, how can you ensure that your help desk is able to respond to queries swiftly and accurately? The answer lies in automation, and one tool that is making waves in this domain is SiteSpeakAI.
Herman Schutte
Founder
Handling Unresolved Support Tickets: Escalating To Human Agents
As amazing and helpful as your ChatGPT powered custom chatbot might be, sometimes your customers or visitors still need a human touch. That's where escalating to human support comes in.
Herman Schutte
Founder