📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Repository Index
47,133 repositories indexed
1–24 of 52 · Most stars
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
A reliable coding agent for complex software engineering tasks.
🚀 Fast and simple Node.js version manager, built in Rust
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Hierarchical Reasoning Model Official Release
Simple, fast & type safe code that leverages the JavaScript & OCaml ecosystems
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Native, lightweight modal code editor
A mostly reasonable approach to CSS and Sass.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
Main game repository for Beyond All Reason.
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Python Toolkit for Causal and Probabilistic Reasoning
Klipse is a JavaScript plugin for embedding interactive code snippets in tech blogs.
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
Reason Network: your team's coding agents, talking to each other. The engine behind `reason network`.
EdgeRock: Strong Reasoning at Constant Memory. Multimodal models with O(N) generation and O(1) persistent history. Inference and evaluation code.
A reasonably complete and well-tested golang port of httpbin, with zero dependencies outside the go stdlib.
The foundation layer for agentic intelligence.
package.json workflow for native development with Reason/OCaml
The only reasonable scripting engine for Go.