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Affordable AI-Powered Search

Save money and get accurate results.

  • Media & Publishing

    Increase reader engagement with AI article recommendations and personalized search.

  • Talent Management

    Find the right talent for your job requirements with contextual search.

  • eCommerce

    Increase sales with faster relevant search results and similar product recommendations.

  • Site Search

    Find pages on your site quickly. Use Seqwa's Site Crawler to prepare the data for indexing.

  • Document Search

    Search for documents semantically and find related documents easily.

  • Database Search

    Use our IT services to build custom integrations for your database.

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Secured with Index and Function specific API Keys

Highly Available Scalable Infrastructure

Build and share Demo Search UI  without writing any code

Search based on User Intent and Preferences

Pay per use Pricing

No Long-term Commitments

API

  • Autocomplete
  • Search
  • Recommend

Basic Operations:  Query Suggestions, Text Search

Advanced Operations:  Semantic Reranking, Personalized Search, Similarity Search, Contextual Search

Select a use-case and see Seqwa in action

Autocomplete

Spell check, Search Suggestions, Related Entities, and Top Full-text Search Results

Autocomplete is a feature that lets users save time by showing search suggestions as they type. This function requires a list of items added to the index, which can be done in bulk or via API. Autocomplete returns a set of suggested queries for the user to choose. For example, if the user types "jacket" and then pauses, you will see "jacket potato", "jacket dress", and "jacket coat".

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Autocomplete function returns suggestions, top tags, and records.

Search Results

  • Shows text search results.
  • Unlike the Search function, Autocomplete does not provide semantic re-ranking and limited results.
  • Implement this for allowing users to get quick search results.

Query Suggestions

  • With each character typed into the search box, you will see the suggestions change.
  • You select anyone of the suggestions
  • You can implement this feature before implement the Search function

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Search

Full-text Search, Semantic ReRanking, Personalization, and Contextual Ranking

Search provides full-text search results and additionally performs semantic reranking. Like Autocomplete, this function requires a list of items added to the index. Search returns a set of search results based on the original query. For example, suppose the user searches "jacket potato". In that case, you will see the relevant results in their order of relevance and document results that might be useful to them, like a blog post about how to make jacket potatoes.

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Search function lets you do full-text search and semantic re-ranking with search query and context.

Text Search with Semantic Re-ranking

  • Enter keywords and click the Search button.
  • Use the Semantic Reranking checkbox to toggle the ranking function.
  • You can add filters to provide faceted search.
  • This example only covers simple text search

Personalized Search with context

  • Same as text search enter keywords
  • Enter a relevant context for the user.
  • The context could be previously viewed items.
  • Click the Search button
  • If you no context is provided the search results will be ranked based on the Search query

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Recommend

Semantic Search, Clustering Similiar Records and Contextual Cluster Mapping

Recommend finds and shows products and document results similar to the one selected and performs a semantic search from a user query. The dataset used for this function must have an item's ID encoded into it. Recommend returns a set of recommendations for the given item ID based on semantic similarity between each item and the original query item ID. For example, suppose the user clicks on a page about how to make jacket potatoes. In that case, you will see similar recipes and perform a semantic search on their query (in this example, "jacket potatoes") and recommend other products they might like.

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Recommend function provides two utilities: Finding Similar Items and Contextual Semantic Search

Find Similar Items

  • Type in a few characters to trigger autocomplete search.
  • See the results under Search Results section.
  • Click on an item to search for similar items
  • Items similar to the one selected will be displayed under Similar Items.

Contextual Search

  • Contextual search finds items based on the semantic meaning.
  • Context should describe the intent of the user.
  • Enter the context and click the Search button
  • Try queries like party wear for women, jewelry for pets, or gift for kids

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Check out code samples for React, Vue, NextJS, NodeJS, Java and Python.

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Contact Us

Or email us at it.services@seqwa.com