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Concepts

  • What gets built — structure graph, chunks, embeddings, document node, and the vocabulary.
  • Entities and relations--model and --entities: known entities keep their IRI, the language model is grounded and gated.
  • Tiers — local only, your models, a Fluree AI account, hosted extraction.
  • Models and calls — the three slots, which calls are made, where data lives.
  • Vector search — exact cosine scoring, why there is no index, and where the boundary is.
  • Re-runs and caching — unchanged documents, retract-and-replace, the two caches.