Give people and GenAI the content they need.
Organizational knowledge is often scattered across different departments and applications, or stuck in unstructured documents. Search across these content repositories is not effective and the content is often not usable by AI.
By contrast, knowledge graphs can map to any content – across any application, business unit, or geography. In addition, search functionality can be radically improved by enriching metadata with semantic meaning.
Get the right information to the right person at the right time with semantics:
Harmonize
tag sets, using LLM automation
Build
links and enrich meaning to improve search
Unite
concepts across disparate systems
Harmonize
Automation: Connect and link every new tag or concept with EDG and LLMs.
Data Quality: helps content managers update content relevancy, ownership, and similarity across
Build
Semantics creates a “Google-like” experience for organizational knowledge, as it helps comprehend the meaning behind user queries, and by understanding user intent deliver more relevant results. Benefits include:
- Entity Recognition and Disambiguation
- Contextualized Search Results
- Query Expansion and Refinement
- Personalized Search and Search by Role
- Semantic Search across Languages
