Search Engine Integration: Integrate search engines or search platforms, such as Elasticsearch, Solr, or Algolia, into web applications or databases to enable effective and fast searching
Data Indexing: Develop data indexing processes to catalog and organize content, making it searchable
This includes creating and managing search indices
Search Query Design: Design and implement search queries using query languages like SQL, DSL (Domain-Specific Language), or search query DSLs specific to the chosen search engine
Relevance Ranking: Define and fine-tune relevance ranking algorithms to ensure that search results are presented in a meaningful and relevant order
User Interface (UI) Design: Work with UI/UX designers to integrate search features into the user interface and create search bars, filters, and facets for user interaction
Autocomplete and Suggestions: Implement autocomplete and query suggestion features to enhance the user search experience and guide users in formulating queries
Faceted Search: Enable faceted search, allowing users to filter results based on various attributes, categories, and metadata
Natural Language Processing (NLP): Integrate NLP techniques and libraries to enhance search capabilities by understanding natural language queries and intent