Golang RAG chatbot for university admissions. Built with LangChain, pgvector, Neo4j & Gemini AI. Features semantic search, knowledge graphs, async processing & hexagonal architecture. Demonstrates high-performance AI in Go as alternative to Python RAG systems.

🎓 AdmissionAgent

AI-Powered University Admission Assistant with RAG Technology

Helping students discover their perfect university match through intelligent conversation

Features • Quick Start • Architecture • Tech Stack • Contributing

📖 Overview

AdmissionAgent is a production-ready RAG (Retrieval-Augmented Generation) chatbot built with Golang that helps students navigate university admissions. Unlike typical Python-based RAG systems, this project demonstrates high-performance AI applications in Go, leveraging LangChain Go, pgvector, and Neo4j for intelligent document retrieval and conversational AI.

🚀 Built with Golang for Performance

While most RAG systems are built with Python, AdmissionAgent showcases Go's capabilities for AI/ML applications:

• ⚡ High concurrency - Handle thousands of concurrent chat sessions
• 🔥 Low latency - Sub-second response times with efficient vector search
• 📦 Single binary deployment - No dependency hell, just compile and run
• 🛡️ Type safety - Catch errors at compile time, no