📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Repository Index
69,734 visible repositories in the index
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Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
🚀 Fast and simple Node.js version manager, built in Rust
- nvm
- nodejs
- javascript
- reasonml
TranslatedList of personally collected books PDF download Baidu Cloud e-book download
Modern React starter kit with Bun, TypeScript, Tailwind CSS, tRPC, Stripe, and Cloudflare Workers. Production-ready monorepo for building fast web apps.
🚀 An open and lightweight modification to Windows, designed to optimize performance, privacy and usability.
- windows
- performance
- latency
- atlas
Clean Architecture Solution Template for ASP.NET Core
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
- forecasting
- r
- python
Harness the power of AutoLayout NSLayoutConstraints with a simplified, chainable and expressive syntax. Supports iOS and OSX Auto Layout
HLS.js is a JavaScript library that plays HLS in browsers with support for MSE.
:love_hotel: Cascading grid layout plugin
Graph-Native Infrastructure for Context and Accountable AI Systems
- ai
- ai-governance
- artificial-intelligence
- context-engineering
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
- bert
- sentence-encoding
- deep-learning
- clip-model
Hierarchical Reasoning Model Official Release
- brain-inspired-ai
- deep-learning
- large-language-models
- reasoning
Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.
The best IP Toolbox. Check your IP address & geolocation, test IP for WebRTC and DNS IP leaks, run an IP quality check, browser fingerprint check, website availability check, network speed test, global latency test, MTR test, Whois search, and more.
Translated🌈【C#/.NET/.NET Core guide for learning, work, and interviews】Records, collects, and summarizes C#/.NET/.NET Core basics, learning roadmaps, hands-on development, programming skill exercises, learning videos, articles, books, project frameworks, community organizations, essential development tools, cutting-edge tech weeklies, common interview questions, interview notes, resume templates, job recruitment, and some of my own modest insights from learning and work. I hope to learn together with everyone and make progress together. If this knowledge base helps you, don't forget to show your support (follow, like, share)💖.
- microsoft
- asp-net
- aspnet-core
- aspnetcore
TranslatedOkGo - 3.0 arrives with a bang. This library is a network request framework based on the HTTP protocol that wraps OkHttp. It is simpler and easier to use than Retrofit, supports RxJava and RxJava2, supports custom caching, and supports batch resumable download management and batch upload management
- okhttp
- okgo
- restful
- rxjava
Portable package manager for Neovim that runs everywhere Neovim runs. Easily install and manage LSP servers, DAP servers, linters, and formatters.
Simple, fast & type safe code that leverages the JavaScript & OCaml ecosystems
- ocaml
- javascript
- reasonml
- reason
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
- cookiecutter-data-science
- cookiecutter
- cookiecutter-template
- data-science
Bark is an iOS App which allows you to push custom notifications to your iPhone
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
- knowledge-graph
- large-language-model
- logical-reasoning
- multi-hop-question-answering