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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
A modular graph-based Retrieval-Augmented Generation (RAG) system
《Designing Data-Intensive Application》DDIA中文翻译
Best Practices on Recommendation Systems
An open-source RAG-based tool for chatting with your documents.
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Modular visual interface for GDB in Python
TinyDB is a lightweight document oriented database optimized for your happiness :)
Python library and shell utilities to monitor filesystem events.
Real-time monitor and web admin for Celery distributed task queue
Play ChatGPT and other LLM with Xiaomi AI Speaker
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Parse Redis dump.rdb files, Analyze Memory, and Export Data to JSON
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL
Blade is a powerful build system from Tencent, supports many mainstream programming languages, such as C/C++, java, scala, python, protobuf...
A simple, easy-to-hack GraphRAG implementation
GraphRAG using Local LLMs - Features robust API and multiple apps for Indexing/Prompt Tuning/Query/Chat/Visualizing/Etc. This is meant to be the ultimate GraphRAG/KG local LLM app.
pytest plugin for distributed testing and loop-on-failures testing modes.