

Christopher Grainger on LangGraph
Feb 23, 2025
In this engaging discussion, Christopher Grainger, founder of Amplified.ai, shares insights from his journey in AI and patent technology. He reveals how moving from Python to Elixir boosted efficiency and reduced costs for his company. The chat dives into the innovative LangGraph project, which simplifies LLM interactions, and the role of semantic technology in revolutionizing patent searches. Grainger emphasizes Elixir's strengths in AI, highlighting its actor model's compatibility with modern architectures and the potential of smaller AI models in software development.
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Improved LLM Interactions
- Automate back-and-forth communication with LLMs to improve task completion.
- Chain calls together, refine responses, and correct previous answers for better results.
LangGraph's Power
- LangGraph orchestrates LLM workflows, enabling graph-based chaining and decisions.
- It allows for routing, fan-out/fan-in patterns and more complex interactions.
Elixir for LLM Agents
- Elixir's OTP primitives, like GenServers, offer structured contracts for LLM agents.
- Agents can access memory, communicate, and organize, enabling complex agentic workflows.