Article·npmjs.com
prompt-engineeringcontext-engineeringllmai-agentsdata-pipelinesautomationraginfrastructurepromptbook@promptbook/utils
@promptbook/utils
Transform unstructured company knowledge into 'AI-ready books' using Promptbook and its utilities. This structures data for optimal AI consumption, enhancing agent accuracy, reducing hallucinations, and unlocking internal data for AI applications.
intermediate30 min5 steps
The play
- Install @promptbook/utilsAdd the Promptbook utility library to your project to begin structuring your internal knowledge base.
- Define Knowledge StructuresDesign how your organization's data will be categorized and formatted into 'AI-ready books.' Identify key entities, relationships, and contextual information relevant for AI consumption.
- Curate & Ingest DataUtilize Promptbook's methodology to transform raw, unstructured company knowledge (e.g., documents, FAQs, reports) into your defined AI-optimized format.
- Integrate into AI PipelinesIncorporate these structured knowledge bases into your Large Language Model (LLM) and AI agent workflows to provide high-quality, factual context for their responses.
- Monitor & RefineContinuously evaluate AI agent output. Refine your AI-ready books and structuring process to improve accuracy, relevance, and mitigate AI hallucinations.
Starter code
npm install @promptbook/utils
Source