Tag: LLM

EdgeQuake is a high-performance Graph-RAG framework in Rust inspired by LightRAG. It transforms documents into knowledge graphs with 6 query modes, embedded PDF vision processing, and sub-200ms hybrid queries. Deploy in 30 seconds with Docker.

Discover how Maxun, the open-source no-code AI web scraper, eliminates brittle custom scrapers by turning any website into structured APIs with LLM-powered extraction, automatic pagination handling, and self-hosted deployment options.

Browser-Use is an open-source AI agent framework that revolutionizes web automation through natural language instructions. Stop writing brittle selectors and let LLMs control browsers intelligently.

WarAgent is an LLM-powered multi-agent system that simulates World War I, World War II, and ancient Chinese conflicts using GPT-4 and Claude-2. Discover how AI agents recreate historical decision-making and what this reveals about preventing future wars.

RAG-Anything is the all-in-one multimodal RAG framework with VLM integration that processes text, images, tables, and equations in a single pipeline. Built on LightRAG by HKUDS, it eliminates fragile tool chains with native cross-modal knowledge graphs and automatic visual reasoning.

Discover SudoLang, the pseudocode programming language that transforms how developers interact with AI models. Learn constraint-based programming, install the VSCode extension, and slash your prompting costs by 20-30%.

Discover Engine Core by Engine Labs: the model-agnostic, extensible AI software engineer using dynamic chat strategies and hot-swappable adapters. Stop fighting with ChatGPT and start shipping code that actually works in your environment.

Master LLM development with LLM-Zero-to-Hundred: 8 production-ready projects covering RAG, fine-tuning, and multimodal AI agents. Complete guide with real code examples, installation steps, and advanced patterns for building enterprise-grade AI applications.

Discover CyberScraper 2077, the AI-powered web scraper that uses LLMs to intelligently extract data from any website. Features Tor support, stealth mode, multi-format exports, and async operations. Complete setup guide and real code examples included.

Discover Reader, the revolutionary open-source web scraping engine built for LLMs. Learn how its production-grade features like Cloudflare bypass, intelligent content cleaning, and browser pooling transform web data into clean markdown for AI agents.

PentestGPT is an AI-powered autonomous penetration testing agent achieving 86.5% success rates on security benchmarks. Learn installation, usage, and advanced techniques for this revolutionary open-source tool.

Discover how InfraNodus MCP Server transforms text into knowledge graphs for LLMs. Learn installation, 25+ powerful tools, real-world use cases, and advanced techniques to supercharge your AI workflows.

Discover Hashbrown, the revolutionary open-source framework for building AI agents in Angular and React. Learn how to implement streaming LLM responses, tool calling, and dynamic UI generation with real code examples from the repository.

MegaParse is a revolutionary open-source document parser that eliminates information loss during LLM ingestion. Achieving 87% similarity ratio, it preserves tables, headers, and structure across PDFs, Word, and PPT files. Learn installation, usage, and advanced patterns in this comprehensive guide.

Codag is a revolutionary VSCode extension that visualizes AI/LLM workflows as interactive graphs. Learn how it works, see real code examples, and discover why it's becoming essential for AI engineers building complex agentic systems.

Discover AI Hedge Fund: a revolutionary multi-agent system with 18 AI agents simulating legendary traders like Warren Buffett and Cathie Wood. Learn installation, real code examples, backtesting strategies, and advanced customization in this comprehensive technical guide.

TokenCost is a revolutionary Python library that calculates USD costs for 400+ LLM models in real-time. This comprehensive guide covers installation, code examples, advanced optimization strategies, and proven methods to reduce AI expenses by 70-90%.

E2M is a revolutionary Python library that converts docs, PDFs, audio, and more into clean Markdown for RAG pipelines. Learn installation, advanced usage, and why it's essential for AI developers.