Search and Recommendation
Get relevant results in less time with sophisticated search and recommendations.
Graphwise Search and Recommendation comprises highly configurable search capabilities built on Graph AI—providing an advanced intelligence layer to deliver context-aware answers and discovery across enterprise data.
Traditional engines rely on rigid keyword matching, forcing employees to spend hours hunting through documents or completely missing critical, highly relevant information buried across data silos.
Graphwise retrieves information based on intent and real-world meaning rather than simple text strings, combining semantic search with a custom recommender system to surface trusted business insights instantly.
Go beyond simple search.
Graphwise Search and Recommendation is built on enriched metadata to return results based on a document’s deeper context and attributes. Instead of relying on exact word matches like standard search engines, it understands the actual meaning and business intent behind a user’s query.
- Experience advanced semantic search in a user-friendly graphical interface
- Combine the power of graph databases and SPARQL engines
- Use the “Concept Display” to see how the tagged concepts relate to each other and let you jump to other topics relevant to your search
- Transform and harmonize documents/data into RDF using our Graph Automation so that it can be ready for the Graph Search application
- Filter and narrow down search queries with facets that are based on a taxonomy
- Automatically index linked RSS feeds with Solr or Elasticsearch
Get smart content recommendations.
Driven by domain logic, context, and user intent, Graphwise surfaces highly relevant content that traditional search overlooks. By mapping implicit connections, it ensures users find exactly what they need while uncovering valuable, cross-departmental insights they didn’t even know existed.
- Avoid the “cold-start problem” by using structured data and text annotations
- Use semantic foot printing and query expansion to get recommendations that are not only based on similarity but implicit connections
- Benefit from traceable recommendations to make sound decisions
- Incorporate linked data such as Wikidata and/or DBpedia to easily broaden the knowledge model
- Factor in multilingualism with bundled concepts
Easily set up your configuration in the Workbench.
The Graphwise Workbench allows you to configure your search and recommendation parameters without writing a single line of code. Through an intuitive backend interface, Subject Matter Experts can toggle features, adjust relevancy rules, and deploy updates instantly—shifting control from expensive technical resources back to the business teams who know the data best.
- Search across multiple company projects or departments simultaneously, from a single interface
- Determine which search filters (facets) to display and how deeply users can drill down into information
- Adjust relevancy scores on a scale of 1 to 100 to ensure users only see the most highly relevant, contextual text results
- Resolve language ambiguities with a simple toggle, eliminating hours of custom coding
- Leverage background corporate concepts to broaden recommendations and surface valuable, hidden content.
- Set the languages for multilingual search and recommendations
Explore Our Success Stories
Expanding Editorial Output for the FIFA World Cup, Delivering 800+ Pages in Weeks
The BBC used semantic technology to To power its 2010 FIFA World Cup website to cut editorial costs and improve user experience.
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Scaling Search and Content Governance with Semantic Technology
Microsoft Docs transformed millions of technical documents into a semantically enriched, scalable knowledge system.
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Transforming AI Reliability by Building Knowledge Graph-Powered Customer Support
Avalara used GraphRAG to establish a foundation for reliable, mission-critical AI applications in tax and financial services.
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Building a Collaborative Knowledge Hub for AI-Powered Predictive Intelligence
Sensing Clues implemented Graphwise’s Knowledge Management Suite to build vast organizational knowledge models.
Read moreTake a deep dive with an expert.
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