RAG ARCHITECTUREENTERPRISE AI ARCHITECTURE

Embedding Service

The embedding service converts documents and queries into vectors using controlled, versioned models.

WHY IT MATTERS

Changing the embedding model can invalidate index compatibility and retrieval behavior.

ENTERPRISE EXAMPLE

The index records embedding-model version and rebuild status before a migration.

ARCHITECTURE DECISION

Can query and document embeddings ever use incompatible models?

REMEMBEREmbedding models are data-schema dependencies.
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