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Embedding and retrieval-augmented generation (RAG) let your applications search prior knowledge before asking a model to respond. Use this section for primitives that add memory or searchable context to an AI workflow:
  • Embeddings - Generate embeddings from documents stored in Telnyx Storage and use them as retrieval context.
  • Conversation History - Search persisted conversation transcripts and messages.
These primitives can be used with AI Assistants, custom agent runtimes, or your own application code.