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.
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".
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.
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.
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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Looking for a custom solution?
Check out code samples for React, Vue, NextJS, NodeJS, Java and Python.
Connect with us and learn about our software services for data preparation, customized UI and REST-APIs.
Developer HubContact UsOr email us at it.services@seqwa.com
Do you have a development team?
Check out code samples for React, Vue, NextJS, NodeJS, Java and Python.
Developer HubLooking for a custom solution?
Connect with us and learn about our software services for integration and customization.
Contact UsOr email us at it.services@seqwa.com