Solutions to Enhance Data Processing for AI Intelligentsia
Faced with the challenges of unstructured data processing, Praxos.ai addresses them with the following actionable solutions:
- Knowledge Graph TransformationThe first step is to automatically transform raw data such as PDFs and API data streams into typed knowledge graphs and establish a clear data relationship network. For example, the "insured" in an insurance policy is automatically associated with the corresponding policy number and amount.
- Structured extraction process::
- Batch upload of multi-format files (insurance policies, customer data, etc.) via SDK/API
- Automatic parsing of text, images and table content
- Identify key fields and establish data association rules
- Dynamic update mechanism: The system supports real-time retrieval and updating of data nodes to ensure that AI intelligences are always working based on the latest facts.
Implementation effect: An insurance case shows that the policy information that originally required hours of manual organization can be automatically generated into a structured database within 5 minutes after application, and the query accuracy rate reaches more than 98%.
This answer comes from the articlePraxos: building a reliable structured knowledge base for AI intelligencesThe
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