LangChain Deep Dive with Rabimba Karanjai (Google Developer Expert)
Abstract
Deep dive talk on LangChain as a Google Developer Expert.
Key points:
- LangChain architecture: chains, agents, memory, tools
- Building production LLM applications
- Agent patterns for tool use and reasoning
- Integration with vector stores for RAG
Takeaway: LangChain provides the building blocks for production LLM applications — chains for pipelines, agents for autonomous reasoning, and memory for context.
