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AI Agent (LLamaIndex + Ollama)

This repository contains my research and development (R&D) code, experiments, and practice projects using LlamaIndex as the core framework. The goal is to explore various AI-driven applications, optimize workflows, and refine my understanding of large language models (LLMs) in different scenarios.

🚀 Tech Stack

  • LlamaIndex - Framework for building LLM-powered applications
  • Ollama - Local LLM API for efficient model execution
  • Qwen2.5 - Selected models: 0.5B and 1.5B

Setup

Install the dependencies

python3 -m venv venv
source venv/bin/activate  # On macOS/Linux
venv\Scripts\activate    # On Windows

Scripts

Human in the loop (HITL) Workflow

File Description
01_basic_workflow.py A basic workflow with human-in-the-loop, where workflow take human feedback on response generation
02_agentic_workflow.py Using agent with wikipedia tool, so that agent can retrieve information from wikipedia. Based on the response, human can provide feedback
03_authentic_api_workflow Demonstrate how AI agent can access authentic resource taking access from human (credential).