Technologies used:
Try it out on Hugging Face Spaces or click the button in the bottom right corner of the screen.
🚀 Project Overview Link to heading
The Interactive Portfolio Agent is an autonomous system capable of answering detailed questions about my professional background, projects, and skills. It acts as an interactive version of my CV, leveraging LangGraph for orchestration and Retrieval Augmented Generation (RAG) to provide accurate, context-aware responses based on my actual portfolio data.
✨ Key Features Link to heading
- Autonomous Reasoning: Uses LangGraph to plan multi-step actions and execute tool calls efficiently.
- RAG & Tool Integration:
- Portfolio Retrieval: Searches and retrieves details about specific projects from markdown files.
- Structured Data Access: Queries structured YAML data for Experience, Education, and Certifications.
- Persistent Memory: Maintains conversation context to support follow-up questions.
- Robustness & Security: Includes rate limiting and token usage tracking.
- Interactive UI: Features a user-friendly Gradio interface and exposing a FastAPI endpoint.
🛠️ Architecture Link to heading
The agent is built with a focus on modularity and deployment:
- LangGraph: Manages the agent’s state and decision-making process.
- ChromaDB: Stores the vector embeddings for the RAG system.
- FastAPI: Serves the agent as a REST API.
- Docker: Ensures consistent deployment across environments, including Hugging Face Spaces.