LLMWhisperer integration

What you can do

• Authenticate CodeWords with your LLMWhisperer API credentials to establish secure access for document processing capabilities and enable automated conversion workflows across your applications.

• Set up automated triggers that activate when new documents are uploaded to storage systems, received via email, or created in other applications requiring processing.

• Specify document processing options such as OCR settings, layout preservation preferences, table extraction rules, or text formatting requirements for optimal LLM consumption and analysis.

• Configure how processed text should be stored, routed, or utilized including saving to databases, sending to AI services, or creating records in document management systems.

• Connect processed document output to language models, analysis tools, or other AI services that will consume the LLM-ready text for summarization, extraction, or insights.

• Establish fallback procedures for processing failures, unsupported formats, or quality issues to ensure workflow reliability and appropriate notification of problems requiring attention.

• Validate your workflows using sample documents of various types and formats to ensure LLMWhisperer produces expected output quality and downstream systems handle results correctly.

• Track processing volumes, success rates, and output quality through CodeWords analytics to optimize workflow performance and ensure efficient handling of document processing demands.