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Knowledge Corpus Development

Build, curate, and publish knowledge packages for the Knowledge Exchange

Knowledge Corpus Development

Knowledge Corpus Development is the art and engineering of turning raw document collections into structured, queryable, monetisable knowledge assets. This is not document scanning — it is knowledge engineering, combining domain expertise with AI infrastructure to create corpora that deliver accurate, cited answers.

From Documents to Knowledge

The gap between a folder of PDFs and a production-grade knowledge corpus is larger than most organisations expect. Documents need to be deduplicated, categorised, quality-checked, and structured for optimal retrieval. Metadata needs to be extracted or assigned. Citation formats need to be standardised. The corpus needs to be tested against real queries before it goes live.

Our Process

  1. Collection Audit: Assess document quality, coverage, and gaps
  2. Curation: Deduplicate, categorise, and quality-check all documents
  3. Metadata Engineering: Extract and assign metadata for optimal retrieval
  4. Indexing Optimisation: Configure chunking, embedding, and retrieval parameters
  5. Quality Assurance: Test query accuracy against domain expert expectations
  6. KaaP Readiness: Prepare corpus for marketplace listing if desired
Corpus Quality Metrics
  • Document coverage completeness
  • Retrieval precision and recall benchmarks
  • Citation accuracy rates
  • Query response quality scores
  • Metadata completeness index

Ready to Turn This Into a Live Programme?

We can scope the delivery model, identify the right team shape, and outline the fastest practical path forward.

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