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Chief Technology Officer
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Multi-agent collaboration patterns (planner, critic, executor); Using CrewAI to coordinate roles and goals; Designing modular, role-based workflows; Preparing agents for real-world applications.

crewai multi-agent systems planner critic executor

Short-term vs. long-term memory in agents; How RAG extends memory through retrieval; Integrating vector databases and embeddings; Demo: augmenting agent responses with external knowledge.

RAG vector databases embeddings

Components: planning, memory, tools, and environment; Frameworks overview: LangChain, CrewAI, LlamaIndex; The Agent Loop: perception → reasoning → action → feedback; Examples of orchestration and coordination.

langchain crewai llamaindex

Extend your Langflow agent with reasoning; Add tool use and structured task execution.

langflow React

Overview of Large Language Models (LLMs); Prompt engineering, reasoning, and Chain-of-Thought (CoT); Introduction to ReAct prompting and reasoning loops; How LLMs enable agentic reasoning.

llms prompt design chain-of-thought react prompting

Quick intro to agentic AI and Langflow interface; Build a basic agent: LLM + tool + feedback loop; Run and observe your first autonomous workflow.

langflow
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