High accuracy RAG for answering questions from scientific documents with citations
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The fast, precise document-intelligence engine for every language: text, tables and metadata from 100+ formats, with OCR, transcription and code intelligence.
- text-extraction
- document-intelligence
- metadata-extraction
- pdf-extraction
Lightweight (7MB) terminal-first AI-native development environment
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
Source control for agents. Use multiple coding agents, track their changes and query them in one place
An AI-powered search engine with a generative UI
- generative-ai
- generative-ui
- nextjs
- react
Awesome curated collection of images and prompts generated by gemini-2.5-flash-image (aka Nano Banana) state-of-the-art image generation and editing model. Explore AI generated visuals created with Gemini, showcasing Google’s advanced image generation capabilities.
TranslatedDaily check-in script based on 「Docker」/「QingLong Panel」/「Synology」 (supports multiple accounts). Check-in list: |iQIYI|Quanmin K Song|Youdao Cloud Notes|Baidu Tieba|Bilibili|V2EX|AcFun|Smzdm (What's Worth Buying)|Aliyun Drive|i Moutai Purchase Application|Xiaomi Sports|Baidu Search Resource Platform|Right Mountain Forum (Enshan)|Aola Star|
- python
- docker
- qinglong
- pypi
The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai
- a2a
- agent-evolution
- agent-framework
- agent-protocol
A Datacenter Scale Distributed Inference Serving Framework
- diffusion
- disaggregated-serving
- kubernetes
- llm-inference
Open GenAI Stack
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
The first GitHub Copilot, Codeium and ChatGPT Xcode Source Editor Extension
- copilot
- xcode
- xcode-extension
- xcode-extensions
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
Stylish, intuitive and user-friendly prompts. Used by eslint, webpack, yarn, pm2, pnpm, RedwoodJS, FactorJS, salesforce, Cypress, Google Lighthouse, Generate, tencent cloudbase, lint-staged, gluegun, hygen, hardhat, AWS Amplify, GitHub Actions Toolkit, @airbnb/nimbus, and more! Please follow Enquirer's author: https://github.com/jonschlinkert
- prompt
- inquirer
- cli
- readline
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
- ingestion-api
- ocr
- omniparser
- parse-server
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
- artificial-intelligence
- attention-mechanisms
- deep-learning
- reinforcement-learning
A simple task management system for managing AI dev agents
Sweep: AI coding assistant for JetBrains
- ai
- code-assistant
- developer-tools
- github-app
TranslatedSelf-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows. Yuxi = Cloud Agents + Knowledge RAG, Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.
OpenCompass is an LLM evaluation platform, supporting a wide range of models from OpenAI, Anthropic, Gemini, Qwen, GLM, DeepSeek, etc, across 100+ datasets covering knowledge, reasoning, coding, science, language, long-context, and safety.
- evaluation
- benchmark
- large-language-model
- llm
A pixel office for your OpenClaw: turn invisible work states into a cozy little space with characters, daily notes, and guest agents. Code under MIT; art assets for non-commercial learning only.
- agent-collaboration
- ai-assistant
- dashboard
- flask
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
- accelerator
- ai-infra
- ai-infrastructure
- book