Fine-tune with retrieval in the loop - models that learn from your documents, not just generic next-token habit.
CRAFT (Contextual Retrieval Augmented Fine-Tuning) pairs retrieval with fine-tuning so models learn how to use private context - not only stuff chunks into a prompt at inference time. Guardrails and SecureDataBridge wrap the workflow so enterprise corpora can participate without leaking into training sprawl.
Prompt-only RAG loses institutional voice the moment the retrieved chunk is weak.
Blind fine-tuning without retrieval discipline overfits or invents.
Enterprises need adaptation that stays tied to authoritative documents.
→Fine-tuning regimes that treat context documents as first-class training signal.
→Dedicated instances per run; Guardrail Engine on prompts; SecureDataBridge between stages.
→Enterprise tools and custom datasets in the loop for domain fit.
→Feedback and incremental training data for continuous improvement.
How the pieces fit
CRAFT TRAINER
Runs fine-tuning epochs with retrieved and contextual document packs.
CONTEXT PACK BUILDER
Selects and versions the document sets that teach the model what this environment looks like.
GUARDED INFERENCE PATH
Same security spine as Fusion - validate, encrypt, generate, re-validate.
EVAL HARNESS
Measures relevance and faithfulness against held-out enterprise questions.
- How much should stay in weights vs. stay in the retriever for regulated corpora?
- What unlearning story do we owe customers when documents are withdrawn?
→Domain models that behave like they work here - because they were trained with here in the loop.
→A bridge between VectorStore retrieval and production Agent Cloud skills.
SYMBIOSIS VECTORSTORE
Vector storage and search built for RAG-scale retrieval - fast, filterable, and deployable where your data has to live.
SECUREDATABRIDGE
Encrypt data in motion across AI pipelines - including research into computation-friendly encryption for sensitive estates.
LLM FUSION
Route work across models like a specialist team - pick by task, merge outputs, keep guardrails in the path.