Voice-Enabled WebRTC and LangGraph
Presenter
Karim Lalani is a local LLM and voice integration expert at Infinidigm LLC, specializing in Ollama implementations and WebRTC technologies. Based in Leander, TX, he has pioneered several innovative voice chat implementations and local LLM deployment strategies for the Austin LangChain community.
Connect with Karim:
- GitHub: @lalanikarim
- Blog: Medium @klcoder
Lab Overview
Learn how to implement voice-enabled WebRTC capabilities with LangGraph, creating real-time communication systems with AI integration.
Key Topics
- WebRTC implementation
- Voice control integration
- LangGraph evolution
- Real-time communication
- Graph structure design
Features
- Voice-enabled agents
- Real-time interaction
- Graph-based workflows
- State management
- Performance optimization
Technical Components
- WebRTC setup
- Voice processing
- LangGraph configuration
- State management
- Response generation
Implementation Steps
- WebRTC configuration
- Voice integration
- LangGraph setup
- State management
- Performance tuning
- Testing and validation
Best Practices
- Real-time processing
- Voice handling
- Graph optimization
- Error management
- Performance tuning
Use Cases
- Voice assistants
- Real-time communication
- Interactive agents
- Multi-modal systems
- Collaborative tools
Prerequisites
- Basic understanding of:
- WebRTC
- Voice processing
- LangGraph
- Python programming
- Development environment setup