Services
Data & Knowledge Engineering
LLM applications and analytics are only as good as the data and knowledge structures underneath them.
We prepare, structure, and connect enterprise knowledge so AI applications can retrieve and reason over it reliably.
What it is
Data and knowledge engineering covers the pipelines, indexing, and knowledge structures that make enterprise information usable by AI systems — including retrieval-augmented generation (RAG) pipelines, knowledge bases, and structured data preparation.
Where it helps
Relevant wherever an AI application needs to ground its outputs in your organization's actual documents, records, or structured data rather than general knowledge alone.
What PacificTahoe does
We assess source data and document quality, design ingestion and retrieval pipelines, and structure knowledge bases so that retrieval is accurate, current, and access-controlled.
- Document and data source assessment for AI readiness
- RAG pipeline design: ingestion, chunking, indexing, and retrieval
- Knowledge base structuring and metadata design
- Access-controlled retrieval aligned to existing permissions
Integration considerations
- Volume, format, and update frequency of source content
- Existing document management and permission structures
Governance & security considerations
- Respecting existing access controls within retrieval results
- Keeping knowledge sources current and clearly attributed
Need your AI application to know your business?
Let's assess whether your data is ready for it.