Description
The Automated Knowledge Graph Builder uses natural language processing and entity recognition to extract facts, relationships, and concepts from unstructured data such as documents, emails, websites, and reports. It organizes this information into a connected graph that enables semantic search, recommendation engines, and intelligent assistants. Organizations use it to unify scattered knowledge, improve data discovery, and power AI systems that require deep contextual understanding.
Dalhatu –
Before, our data was a mess of silos. Automated Knowledge Graph Builder intelligently connected customer records from Salesforce with support tickets and project docs, revealing hidden relationships. The natural language queries are a game-changer for non-technical staff. Support was responsive during our custom API integration, and performance has been rock-solid. A vital tool for us.
Adekunle –
The manual tagging of our research reports was a bottleneck, causing stale data. Automated Knowledge Graph Builder ingested our disparate PDFs and SQL databases, autonomously linking authors to publications and concepts. The semantic search it enabled has cut our discovery time by over 60%. It was set-and-forget, and the support team was incredibly responsive during our initial setup.
Bernard –
As a data lead, unifying siloed info was a nightmare. Automated Knowledge Graph Builder ingested our messy PDFs and SQL data, auto-linking entities we missed. The graph visualization UI is intuitive, and support was sharp when we needed a custom schema. Query times dropped 60%. It’s become our critical intelligence layer.