Get Semantically Similar Documents from Unstructured Data Sources
Legend: Blue dots represent PubMed articles. We enriched this search space with LIMS records – green dots and SharePoint documents – purple dots. Our solution reveals semantic similarities amongst all three data sources simultaneously.

Get Semantically Similar Documents from Unstructured Data Sources

At Zifo, we understand that biotech companies face significant challenges when it comes to extracting relevant information from vast document stores. To address this issue, we are excited to introduce our latest NLP search service, Zifo Semantic Search Service, which leverages AI-powered semantic search capabilities and customizable search spaces, providing your scientists with the ability to search unstructured data with ease.

Traditional search engines rely on keyword matching, our solution?determines the contextual meaning of queries and finds similar meanings in data from across your organization and beyond, delivering more accurate search results. This approach significantly reduces the time and resources required for data curation and indexing.

We designed Zifo Semantic Search Service to meet the specific needs of biotech companies, who often face unique challenges when integrating data from various sources. Our customizable search spaces enable users to focus on relevant information, improving the efficiency and effectiveness of their searches.

Zifo Semantic Search Service is a game-changing solution for biotech companies, allowing them to find the information quickly and easily they need to make informed decisions. Whether you are looking for research papers, clinical trial data, experimental data, or regulatory information, Zifo Semantic Search Service makes it easier to find and access the right information at the right time.

We invite you to learn more about Zifo Semantic Search Service and see it in action by visiting our website at https://semanticboost.zifo-tech.com/. If you are interested in how Zifo Data Science team can support your use case or search challenges, please contact our team directly at [email protected].

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