> ## Documentation Index
> Fetch the complete documentation index at: https://developers.telnyx.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Embedding & RAG

> Build retrieval, semantic search, and conversation memory with Telnyx.

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](/docs/inference/embeddings) - Generate embeddings from documents stored in Telnyx Storage and use them as retrieval context.
* [Conversation History](/docs/inference/embedding-rag/conversation-history) - Search persisted conversation transcripts and messages.

These primitives can be used with AI Assistants, custom agent runtimes, or your own application code.