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Conducting Semantic Searches

Last updated October 31, 2023

Semantic search transcends the boundaries of literal keyword matching, delving into the realm of understanding the intent and contextual meaning of search queries. Vellum's platform is adept at facilitating semantic searches, enhancing the discovery of relevant information within your documents and data. This article outlines the process of conducting semantic searches within the Vellum platform, enabling a more nuanced and effective search experience.

Conducting Semantic Searches in Vellum:

  • Step 1: Accessing the Search Feature
  • Log in to your Vellum account and navigate to the 'Search' tab on the dashboard.
  • Step 2: Entering Your Query
  • Type your search query into the search bar. Instead of focusing on keywords, phrase your query in a way that reflects the information you are seeking.
  • Step 3: Utilizing Advanced Search Options
  • Make use of advanced search options to narrow down your search based on specific criteria or document metadata.
  • Step 4: Executing the Search
  • Click on the 'Search' button to execute your semantic search.
  • Step 5: Reviewing Search Results
  • Browse through the search results to find documents or data that match your query's intent and context.
  • Step 6: Analyzing Semantic Relevance
  • Utilize the semantic relevance scores provided alongside each search result to understand the level of match with your query.
  • Step 7: Refining Your Search
  • If necessary, refine your search query or use the advanced search options to better align the results with your informational needs.
  • Step 8: Accessing Document Content
  • Click on a search result to view the full document content and further explore the information retrieved.
  • Step 9: Saving Searches
  • Save your search queries and configurations for future reference or repeated use.
  • Step 10: Leveraging Search Insights
  • Utilize the insights gained from semantic search to inform your prompt engineering, document management, and other operational activities within Vellum.

Conclusion:

Conducting semantic searches in Vellum unlocks a more sophisticated level of information discovery, aligning closely with the contextual intent of your queries. By leveraging the semantic search capabilities of Vellum, you can significantly enhance the efficiency and effectiveness of your search endeavors, leading to better-informed decisions and a deeper understanding of your data and documents.

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