搜索结果：llms.txt

Langfuse is an open-source LLM engineering platform that provides comprehensive observability, prompt management, and evaluation tools for building and monitoring LLM applications. It offers native SD

RAG-Anything is a unified framework that enables comprehensive knowledge retrieval across all modalities (text, images, tables, math), addressing the limitations of current text-only RAG systems by tr

RAG-Anything is an open-source framework developed by HKU researchers that enables unified multimodal retrieval-augmented generation, allowing AI systems to understand and retrieve knowledge from text

ContextMax is a browser-based tool that enables developers to create precise context sets for LLMs by specifying relevant files, functions, and workflows, ensuring privacy and efficiency without uploa

Awesome LLM Apps provides 100+ ready-to-run AI agent and RAG templates with step-by-step tutorials, covering AI Agents, Multi-agent Teams, MCP Agents, RAG, Voice Agents, and more. It's provider-agnostic, works with Claude, Gemini, OpenAI, xAI, Qwen, and Llama, and includes free tutorials on Unwind AI. 原文翻译： Awesome LLM Apps 提供100多个可直接运行的AI智能体和RAG模板，附带分步教程，涵盖AI智能体、多智能体团队、MCP智能体、RAG、语音智能体等。它支持多种模型提供商，包括Claude、Gemini、OpenAI、xAI、Qwen和Llama，并在Unwind AI上提供免费教程。

This research systematically evaluates quantization and dimensionality reduction techniques for RAG vector embeddings, finding that float8 quantization combined with PCA offers optimal 8x compression

GEO (Generative Engine Optimization) is the new paradigm for content visibility in the AI era, shifting focus from keyword ranking for search engines to semantic understanding and authority building f

Open Deep Research is an open-source implementation of OpenAI's Deep Research experiment that uses Firecrawl for web search/extraction with reasoning models for structured data analysis. 原文翻译： Open Deep Research 是 OpenAI Deep Research 实验的开源实现，使用 Firecrawl 进行网络搜索/提取，并结合推理模型进行结构化数据分析。

GPT-3 demonstrates that scaling language models to 175 billion parameters enables few-shot learning across diverse NLP tasks without task-specific fine-tuning, achieving competitive performance through text-only interaction. 原文翻译： GPT-3通过将语言模型扩展到1750亿参数，实现了跨多种NLP任务的少样本学习，无需任务特定微调，仅通过文本交互即可达到竞争性性能。

The GPT-RAG Solution Accelerator provides enterprise-ready architecture templates and deployment assets for building secure, scalable Retrieval-Augmented Generation (RAG) solutions powered by AI Agents on Azure, incorporating Zero-Trust security, Responsible AI, and end-to-end observability. 原文翻译： GPT-RAG解决方案加速器为企业提供即用型架构模板和部署资产，用于在Azure平台上构建安全、可扩展的检索增强生成（RAG）解决方案，由AI代理驱动，融合零信任安全、负责任AI和端到端可观测性。