I’m glad you’re exploring how to integrate Llama Index and RAG with your voice agent! A great way to do this is by using function calling with Llama Index’s

as_query_engine

. This method helps you dynamically pull in context from your knowledge base while keeping all the advanced features your agent needs, like handling interruptions and delivering structured responses. Here’s a simple overview to get you started: • Use Llama Index’s

as_query_engine

within a function tool that your agent can call whenever it needs to look something up. • Connect this with your voice agent so that retrieval happens only when necessary, making the experience smoother and more efficient for users. For a hands-on example, you might want to check out the LiveKit Docs RAG repository. It shows a voice agent querying a RAG database built from LiveKit documentation, including everything from automated data ingestion to setting up the vector database and integrating the function tool. If you’d like me to walk you through any part of this or if you have more questions, just let me know—I’m here to help! Sources: examples/voice_agents/README.md | rag/main.py | delay-handling/agent.py

I’m happy to help you integrate Llama Index and RAG with your voice agent! A great way to do this is by using function calling along with Llama Index’s

as_query_engine

. This setup lets your agent dynamically pull context from your knowledge base, while still supporting advanced features like handling interruptions and providing structured responses. Here’s a simple overview to get you started: • Use Llama Index’s

as_query_engine

inside a function tool that your agent can call whenever it needs to look up information. • Connect this with your voice agent so it only retrieves information when necessary, which helps keep things responsive and efficient. • For practical guidance, you might find the LlamaIndex RAG Example or the LiveKit Docs RAG Example really useful. Both examples offer detailed setup instructions and patterns ready for production use. If you have any questions or want me to walk you through any part, just let me know—I’m here to help!