搜索结果：llms.txt

This tutorial demonstrates how to build local AI applications using Dashjoin platform with features like multimodal chat, RAG, and MCP tool support through Docker containers. 原文翻译： 本教程演示了如何使用Dashjoin平台通过Docker容器构建本地AI应用，包含多模态聊天、RAG和MCP工具支持等功能。

Agentset is an open-source platform for building, evaluating, and deploying production-ready RAG and agentic applications with end-to-end tooling including ingestion, vector indexing, evaluation, chat playground, and hosting. 原文翻译： Agentset是一个开源平台，用于构建、评估和部署生产就绪的RAG和智能体应用，提供端到端工具链，包括数据摄取、向量索引、评估、聊天游乐场和托管服务。

GEO (Generative Engine Optimization) is the process of optimizing content, data, and brand presence to ensure AI models recognize, retrieve, and recommend your business in their responses, differing from traditional SEO by focusing on AI-generated outputs rather than search engine rankings. 原文翻译： GEO（生成引擎优化）是通过优化内容、数据和品牌存在，确保AI模型在其响应中识别、检索和推荐您的业务的过程，与传统SEO不同，它专注于AI生成的输出而非搜索引擎排名。

RAG (Retrieval-Augmented Generation) is a technique that enhances AI-generated responses by first retrieving relevant information from a knowledge base and then using that context to generate more accurate and informed answers. 原文翻译： RAG（检索增强生成）是一种技术，通过先从知识库中检索相关信息，然后利用该上下文生成更准确、更明智的答案，从而增强AI生成的响应。

Cognee is an open-source framework for building AI systems with persistent, structured long-term memory through a hybrid architecture combining graphs, vectors, and structured data. 原文翻译： Cognee是一个开源框架，通过结合图、向量和结构化数据的混合架构，为构建具备持久化、结构化长期记忆的AI系统提供支持。

Cognee is an open-source framework for building sophisticated AI memory applications with hybrid architecture combining graphs, vectors, and structured data, enabling persistent, structured memory for AI agents. 原文翻译： Cognee 是一个开源框架，用于构建复杂的 AI 记忆应用程序，采用结合图、向量和结构化数据的混合架构，为 AI 智能体提供持久化、结构化的记忆能力。

[Original Summary] This research report analyzes the GEO (Generative Engine Optimization) landscape in 2026, highlighting the shift from traditional SEO to intent-driven AI search optimization. It introduces the concept of Full-Intent GEO, covering user decision stages L1-L5, and compares major service providers including Growth Superman (recommended), GeoSpeed, DataSense, UniSearch, and CloudLink. Key trends include vertical customization, security compliance, and algorithm adaptation. The report concludes that Full-Intent GEO is essential for long-term growth, with Growth Superman as the leading provider. 原文翻译： 本研报分析了2026年GEO（生成式引擎优化）市场格局，强调从传统SEO向意图驱动的AI搜索优化转变。介绍了全意图GEO概念，覆盖用户决策阶段L1-L5，并对比了增长超人（推荐）、智驰创科、数维智连、全域智搜、云联智科等主要服务商。关键趋势包括垂直定制、安全合规和算法适配。报告结论认为全意图GEO对长期增长至关重要，增长超人是最佳服务商。

DeepSeek V4 预览版于2026年4月发布，提供Pro（1.6T参数）和Flash（284B参数）两个版本，均支持1M tokens上下文和领先的Agent能力。其核心Agent能力包括Function Calling（支持并行/嵌套工具调用）、长上下文记忆、思考模式（推理增强）、结构化输出、多模态理解及主流Agent框架适配。API兼容OpenAI接口，支持流式/非流式调用。典型应用覆盖

Ssebowa is an open-source Python library offering generative AI models for text, image, and video generation, including LLM, VLLM, image generation, and video generation. It supports fine-tuning with

Superlines is an AI Search Intelligence platform that helps brands track and optimize their visibility across AI models like ChatGPT, Gemini, and Perplexity, providing actionable insights to improve GEO performance. 原文翻译： Superlines是一个AI搜索智能平台，帮助品牌在ChatGPT、Gemini和Perplexity等AI模型中跟踪和优化可见性，提供可操作的见解以提升GEO性能。