Native Retrieval-Augmented Generation (RAG) in Conversational AI

Описание: Seamlessly enable your agent to access and use large knowledge bases during conversations. Instead of loading entire documents into the context window, RAG retrieves only the most relevant information for each user query.

Try ElevenLabs: https://elevenlabs.io?utm_source=yout...

RAG is ideal for agents that need to reference large documents, technical manuals, or extensive knowledge bases that would exceed the context window limits of traditional prompting. RAG adds on slight latency to the response time of your agent, around 500ms.

Find the docs: https://elevenlabs.io/docs/conversati...
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