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This repository is a complete journey through System Design, covering everything from core concepts to real-world architecture problems. It includes in-depth explanations of topics like load balancing, caching, sharding, and the CAP theorem, along with scalable system design patterns, case studies.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards. This repo is organized collection of resources to help you learn how to build and design large-scale systems
Offline NL→SQL engine with 7-phase RAG pipeline, self-healing SQL, local LLM via Ollama, pgvector semantic search, and a Streamlit UI — no cloud, no API keys.
This repository is being in use for building various Low-Level System Designs. Mostly Python and it's popular frameworks are used for designing & building.
ResearchMind MCP Server gives AI assistants a local research brain with RAG, semantic search, arXiv integration, and persistent memory. Built with Python, ONNX Runtime, ChromaDB, and SQLite.