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Lamhot Siagian
developerFull Stack AI Systems Architect | iOS Developer| GenAI, Agentic RAG & AI Agents | LLMOps | MLOps | AI Workflow Automation
Public projects
rag-techniques-playbook
A comprehensive catalog of 34 Retrieval-Augmented Generation (RAG) techniques. Features Python pseudocode, pros/cons, and architecture concepts ranging from basic retrieval to advanced agentic RAG, GraphRAG, and self-correcting workflows.
llm-system-design
A production-grade LLM System Design platform & interactive lab. Features a pure-Python LLM serving, RAG, routing, safety, and agent control plane (150+ offline tests) plus a LangChain + Streamlit UI with local Ollama models.
Pythonagentic-aiaiai-agents
langchain-local-rag-qa-handbook
A 100% local Question Answering (QA) system built with LangChain RAG. This project loads a QA handbook PDF, creates embeddings locally, stores them in FAISS, and answers questions using a local LLM via Ollama.
Python
ai-ml-evaluation
The runnable companion to the ebook Cracking AI & ML Evaluation System Design Interviews.
Pythoneval-harnessevalsevaluation
memory-rag
An agentic Retrieval-Augmented Generation (RAG) system built with FastAPI, LangGraph, and Ollama, featuring a modern Next.js 15 App Router UI. The system supports user authentication, multi-tier conversation memory, and an interactive 14-Chapter Lab Suite
Python
recommendation-system-rag
An interactive, chat-driven learning system and production reference architecture for recommendation-system engineering, built with FastAPI, LangGraph, Ollama, and pgvector, and fronted by a modern Next.js 16 / React 19 App Router lab UI.
Pythonmlreccomendation-systemrecommendation-system
Likely stack
OpenAILangChainLangGraphLlamaNext.jsPyTorchvLLMOllamaWhisperVector DB
