LLM 模型排行

A complete collection of RAG interview questions, answers (548 questions & 41 RAG types), system design scenarios, architecture patterns, and production-ready concepts.

xPrivo is the privacy-first AI assistant that you can self-host. No accounts, never. Free as in freedom.

A Deep Thinking RAG Pipeline to Solve Complex Queries

Enterprise-ready self-hosted AI assistant runtime with sandboxed execution, secure credentials, approvals, and memory

A repository that ships its own code. AI workflows triage issues, implement them, review, and auto-merge with no human reading the diff. Runs on Archon. The app it maintains is a cited RAG chat over YouTube transcripts, live at chat.dynamous.ai.

Lightweight graph database with relational, vector, and MCP support, designed to power knowledge and artificial intelligence persistence and retrieval.

High-performance Knowledge Graph engine for AI, LLMs, and GraphRAG — built for the next generation of intelligent applications.

Jupyter Notebooks for Ollama integration

LLM prompt language based on Jinja. Banks provides tools and functions to build prompts text and chat messages from generic blueprints. It allows attaching metadata to prompts to ease their management, and versioning is first-class citizen. Banks provides ways to store prompts on disk along with their metadata.

The model is the engine; the harness is the car. Curated knowledge on harness engineering — context management, tool design, agent loops, memory, sandboxing, evals. EN/中文

Visual knowledge bank for understanding large language models, with 180 concept cards from tokenization to deployment.

Open-source adversarial testing engine, SDK, and CLI for AI agents. Runs locally or against the Humanbound Platform.

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.

An out-of-the-box local Web UI for DeepSeek-OCR. Built with FastAPI + Vue.js, it supports PDF/Image uploads, progress tracking, and result visualization with bounding boxes. Easily experience the power of a top-tier OCR model.

A comprehensive resource designed to help developers effectively use AI tools to develop websites, apps, and other projects.

Language AI Engineering Lab, a place where you can deeply understand and build modern Language AI systems, from fundamentals to production.

Plug-and-play document AI with zero-shot models.

A clean and modular FastAPI boilerplate designed to kickstart your GenAI project.

Privacy-first LLM proxy and AI gateway - load balancing, multi-provider routing, API key management, usage tracking, rate limiting. Self-hosted. Zero knowledge of your prompts.