搜索结果：AI大模型

This book focuses on Generative Engine Optimization (GEO), starting from the underlying logic of the 'Answer Economy' and discussing a trust-centric growth model in the AI era. It is divided into four

This handbook provides comprehensive guidance for developers on ensuring structured outputs from Large Language Models (LLMs), covering tools, techniques, and best practices for reliable programmatic

Tonic Validate Logging is a Python library that enables developers to log RAG application outputs to the Tonic Validate platform for automated evaluation using LLM-assisted metrics, visualization, and

Opik is an open-source platform for comprehensive observability, evaluation, and optimization of LLM applications, offering tracing, testing, monitoring, and automated prompt/agent optimization from d

Langfuse is an open-source observability and analytics platform designed for LLM-powered applications, offering comprehensive monitoring, analysis, and debugging capabilities with extensive framework

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

Antfly is a distributed search engine that combines full-text search, vector similarity, and graph traversal over multimodal data (text, images, audio, video) with built-in RAG agents for retrieval-au

RAG-Anything is a comprehensive all-in-one multimodal document processing RAG system that seamlessly handles text, images, tables, equations, and other content types within a unified framework, elimin

本文提出了一种超越传统文档检索的RAG框架，将其演化为动态优化引擎。该框架通过动态检索和组合多种上下文（如定制指令、少样本示例），并基于交互反馈实时优化检索策略，优先选择高效用内容。系统形成闭环学习，能自动纠正错误、强化成功输出，使LLM无需重新训练即可持续改进，实现从静态检索到实时自适应优化的转变。