Group e-media
Data substrate

Vector Search

Retrieval pipelines that combine chunking, embeddings, metadata, reranking, permissions, and evaluation.

Operating principle

Production AI is not a prompt. It is a system of context, tools, permissions, traces, evals, and feedback loops.

Retrieval is a system

Vector search is only one piece. Useful retrieval requires source quality, chunk strategy, metadata, freshness, access control, and feedback from failed answers.

  • Chunking and overlap policies
  • Hybrid semantic and keyword retrieval
  • Reranking and citation shaping
  • Evaluation against known questions and failures

Related resources

Source Graph

The owned map of systems, schemas, documents, permissions, events, and business meaning that agents use to act safely.

Data Quality

Contracts, validation, lineage, freshness, and ownership for data that agents can safely use.

Workflow Evals

Evaluation suites that mutate prompts, models, retrieval policies, generated code, and node structure before promotion.