Topic
Multimodal & Voice Apps with AI Frameworks
6 posts on multimodal & voice apps with ai frameworks — part of framework tutorials on the n4n AI blog.
Speech-to-speech apps with the OpenAI Realtime API
A practical openai realtime api speech-to-speech tutorial: build low-latency voice apps with WebSockets, handle audio, and avoid common pitfalls.
Real-time voice apps with LiveKit Agents and Whisper
Step-by-step guide to building a production-ready real-time voice app with LiveKit Agents and Whisper STT, including LLM wiring and TTS.
Multimodal RAG in LlamaIndex with GPT-4o and images
Build a working multimodal RAG pipeline in LlamaIndex with GPT-4o and images. Step-by-step code for indexing and querying visual documents.
Build a voice bot with Vapi and Twilio integration
Step-by-step vapi twilio voice bot integration tutorial: connect Vapi assistants to Twilio telephony and a custom LLM endpoint in production.
Build a voice assistant with Pipecat and GPT-4o Realtime
Step-by-step pipecat gpt-4o realtime voice assistant tutorial: build a low-latency voice agent with Pipecat and OpenAI Realtime, from install to verification.
Analyze images and PDFs with Gemini 2.0 in LangChain
Hands-on tutorial: build multimodal pipelines with Gemini 2.0 and LangChain to analyze images and PDFs locally, with runnable code and expected outputs.
More topics in framework tutorials
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- One Backend, Every Model: Swapping GPT-5, Claude, Gemini & Llama Across Frameworks9
- AutoGen Human-in-the-Loop Workflows8
- LangChain Multi-Model Fallback & Routing8
- AutoGen Getting Started with n4n.ai7
- AutoGen Multi-Agent Conversations & Group Chat7
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- CrewAI Getting Started with n4n.ai7
- CrewAI Real-World Crew Examples7