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Weaviate Podcast

How Keenious uses Weaviate to Enable Semantic Search through 60M+ Academic PUBs

Dec 13, 2021
Connor Shorten and Charles Pierse discuss how Keenious uses Weaviate for semantic search in academic publications. They explore the concept of neuro-symbolic search and serendipity in academic paper search, the role of ontologies and knowledge graphs, and the versatility and modularity of Weaviate. They also discuss the H&S W algorithm and pre-filtering, as well as the potential of automated scientific reviewing as a SaaS product.
01:23:26

Podcast summary created with Snipd AI

Quick takeaways

  • Kenius aims to make the process of scientific literature exploration fun and serendipitous, offering not just keyword-based results but also additional interesting results.
  • Kenius employs context-based search to help users discover relevant research beyond direct queries, mimicking human association of ideas.

Deep dives

Kenius: A Scientific Literature Mining Tool

Kenius is a scientific literature mining tool that allows users to search through the scientific literature and find relevant papers and information. The tool is a plug-in for Google Docs and Microsoft Word, allowing users to highlight text and query Kenius for relevant ideas. The tool takes a holistic approach to research, catering to researchers from undergraduates to PhDs. Kenius aims to make the process of exploration fun and serendipitous, offering not just exact keyword-based results but also providing additional interesting results that may not match exact keywords. The tool can handle documents of any size and includes features such as searching authors, topics, and institutions.

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