Knowledge Discovery
Go beyond standard search with context-aware knowledge discovery to understand intent and retrieve the most relevant results
According to IDC, knowledge workers spend roughly 30% of their workday searching for information, mainly sifting through imprecise keyword search results. Traditional engines rely on exact word strings, completely missing critical information buried across department silos.
Making organizational data instantly accessible is a business necessity. Graphwise unifies fragmented metadata into an interoperable knowledge graph. By understanding business intent and real-world meaning rather than simple text strings, it builds an intelligence layer that speaks your users’ language.
Go beyond simple search
Graphwise 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
- See how the tagged concepts relate to each other visually and jump directly to related topics
- Filter and narrow down results using smart facets derived directly from your taxonomy
- Harmonize documents into RDF using Graph Automation, ready to be indexed via Solr or Elasticsearch
Get smart content recommendations
Surface highly relevant content that traditional algorithms overlook by mapping implicit connections rather than relying on early user ratings.
- Use structured data and rich text annotations to recommend content immediately, without needing historical user behavior
- Expand search criteria beyond surface-level text similarity to uncover valuable, cross-departmental insights users didn’t even know existed
- Resolve language ambiguities with bundled concepts and incorporates external linked data (like Wikidata or DBpedia) to broaden your model
Easily set up your configuration
You don’t need a team of developers to tune your discovery engine. The Graphwise Workbench gives Subject Matter Experts an intuitive backend interface to manage, test, and deploy configurations instantly:
- Search across multiple company projects, repositories, or departments simultaneously from a single interface
- Adjust search relevancy scores on a scale of 1 to 100 to fine-tune exactly what users see.
- Toggle search facets, depth, and language filters instantly through an intuitive no-code backend
Arguments that justify your investment
Relevant results in less time
By narrowing results down by user context and intent, the time spent sifting through irrelevant data lists is cut in half.
Enable employees
Eliminate the barrier of complex domain jargon. The engine translates casual search queries into domain-specific terminology, making corporate knowledge accessible to novices and experts alike.
Resurrect Legacy Assets
As data conventions change and experts leave the company, old content gets lost. Semantic indexing keeps legacy documents connected and accessible to active workflows like customer support.
Deep Dive in Semantic Footprinting
Each knowledge object is assigned a unique position in the knowledge graph. This position represents the exact combination of its inherent content and its contextual relationships, enabling deterministic, explainable AI retrieval.
Explore Our Success Stories:
Digital Transformation as an Accelerator for Semantic Technologies
Wolters Kluwer used Graphwise’s Knowledge Management Suite to streamline enterprise taxonomy management and accelerate digital transformation.
Read moreTransforming 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.
Read moreFrom Silos to Smarter Search and Self-service Tools
Using Graphwise offerings, Healthdirect Australia transformed its fragmented digital health infrastructure into a unified semantic knowledge graph.
Read moreDownload the White Paper
This white paper gives an overview on costs & benefits of implementing a Knowledge Graph