pythonllamaindexworkflowsagent-frameworkafter-workstart-using
How to Start Using LlamaIndex Workflows
Install LlamaIndex, run a tiny Workflow (or agent) over one local doc, and learn event-driven RAG agents after work.
Academy notes
Articles and updates from SoloQuant Academy.
Tag: start-using
Install LlamaIndex, run a tiny Workflow (or agent) over one local doc, and learn event-driven RAG agents after work.
Install Hugging Face smolagents, run a tiny code-agent with one tool, and learn tool-calling without a heavyweight stack.
Semantic Kernel is converging into Microsoft Agent Framework—learn the migration path with one tiny agent tonight.
AutoGen is in maintenance—start with AG2 or Microsoft Agent Framework tonight; use AutoGen only as a migration contrast.
Install pydantic-ai, run a typed Agent with output_type, add one tool—after-work Python agents with validation.
Follow adk.dev Python quickstart, run a simple ADK agent in under 20 minutes—after-work Agent Development Kit basics.
pip install openai-agents, run the hello-world Agent + Runner, then add one function tool—after-work Python agent loop.
Install CrewAI, run a one-agent crew or first Flow, keep roles tiny—after-work multi-agent Python without CEF fluff.
Install LangGraph, build a tiny tool-calling graph or functional agent, run one arithmetic task—after-work Python agent basics.
Open Bolt.new, prompt a tiny browser app, run it in WebContainers, read the files—keep after-work scope educational.
Open v0, prompt a tiny educational UI, read the React/Next code, preview in the sandbox—keep after-work scope tight.
Sign up on Replit, prompt Agent for a tiny Python greet lab, read the files, run locally in the shell—keep scope tight after work.