Chat / interactive AI
Transcription
OCR (image text extraction)
Agentic AI / automation
Data access
- Excel
- Google Sheets
- Postgres SQL
- TypeDB
The information-search issue
Today, important information is often hidden in text, making it hard to find when we need it. It is unfortunate that millions of hours are spent gathering information, yet we’re unable to recover it on demand. When we’re left with an incomplete picture, the result is inefficiency, project delays, or the spread of false information.
To unlock the information hidden in text, available search methods are insufficient — new search tools must be developed. The new approach must focus on searching information, not documents. In this context, knowledge graphs hold significant potential:
- Status quo — Unlocking scientific knowledge: a brief analysis of the limitations of current search methods.
- Context — Literature review: publications relevant to a universal knowledge-graph schema — valuable lessons, but none solved the issue.
- Solution — Navigating via knowledge graph: the answer to the search-blockade scientists face.