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examples/study/study_guide.py
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| from agentic.common import Agent, AgentRunner | ||
| from agentic.models import GPT_4O_MINI | ||
| # This is the "hello world" agent example. A simple agent with a tool for getting weather reports. |
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Suggest you update the comment with a fuller description of this agent and how it works. Note your PR comment will be lost to history, but this comment in code will live forever.
The comment should explain how to setup and run the agent. Also , does the RAG indexing happen every time or only once?
scottpersinger
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Jul 29, 2025
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Can we add this to the examples list in https://github.com/supercog-ai/agentic/blob/main/docs/example-agents.md ?
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Just updated the documentation for the agent, and added it into the examples list. Also changed the multiple choice agent to generate answers with the questions (hopefully reducing odds of hallucination) |
scottpersinger
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Aug 1, 2025
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Closes #214
Added a study guide agent to examples that loads .txt and .pdf documents located in agentic/examples/study/docs. The agent uses the weaviate rag tool.
The study guide agent has 3 main "modes":
The agent provides citations whenever RAG content is used, and is prompted to use general knowledge as little as possible.
Here is a segment from the openstax Calculus textbook (free) that I used for testing:
calc1.pdf