SKT-OM: 13B LLM + LangGraph Agentic RAG

SKT-OM is an advanced agentic Retrieval-Augmented Generation (RAG) system powered by a 13B parameter Large Language Model, built for intelligent and context-aware text generation. How it Works: Users input any natural language query or complex question. SKT-OM intelligently decomposes the query, retrieves relevant information using the SKT RAG framework, applies multi-step reasoning through LangGraph agents, and generates accurate, well-structured, and contextually rich responses. Key Capabilities: • Multi-agent LangGraph workflow (query analysis, decomposition, retrieval, reranking, reasoning, and final synthesis) • Advanced SKT RAG pipeline with query rewriting and contextual compression • Stateful conversations with persistent memory across interactions • Tool calling support for dynamic capabilities • Significantly reduced hallucinations and strong multi-hop reasoning ---Technical Architecture:--- •13B LLM trained and optimized on AMD Developer Cloud GPUs using $100 developer credits • Powered by ROCm 7.0 and AMD GPU And TEAM OM • Efficient inference with full support for agentic flows Impact: • SKT-OM demonstrates production-grade agentic RAG capabilities — capable of handling complex, knowledge-intensive queries with high accuracy and logical reasoning. It showcases the full potential of AMD hardware combined with open-source tools like SKT RAG and LangGraph for building next-generation AI agents. Fully developed during the AMD Developer Hackathon 2026 with regular build-in-public updates.