目前看来,OpenWebUI是这几个带有RAG结合项目中实现功能最为丰富的开源AI项目,大部分RAG+AI结合的项目,仅实现了文件上传对话的基本功能,这只能满足一次性文件嵌入使用的需求。OpenWebUI除此之外,还进一步利用RAG,开发了类ChatGPT官网GPTs那样的“自定义模型”功能,自定义模型中嵌入的外部知识库,是可以动态更新的,如此...
🔥🔥🔥视频简介:在这期AI超元域视频中,我们展示了如何结合GraphRAG、Open WebUI、FastAPI和Tavily AI来创建一个功能强大的多模式检索聊天机器人。🔥主要内容包括:1️⃣使用GraphRAG实现本地检索和全局检索功能2️⃣集成Tavily AI实现在线搜索功能3️
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. - Afro-ai/ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering capabilities, backed by well-founded citations from...
AnythingLLM supports a wide range of LLMs, including popular options like OpenAI, Azure OpenAI, Google Gemini Pro, and various open-source alternatives. Users can leverage embedding models from diverse sources, including AnythingLLM’s native embedder, OpenAI, LM Studio, and more, ...
Generation (RAG), einer Methode zum Abrufen von KI-Antworten aus Ihren eigenen Referenzdokumenten, erforderlichen Tools integrieren. Wenn Sie OpenShift AI mit NVIDIA AI Enterprise kombinieren, können Sie mitLarge Language Models (LLMs)experimentieren und so das optimale Modell für Ihre ...
Meilisearch: A powerful, open-source search engine offering fast and relevant full-text searches. Enhance your search capabilities with features like facet search, semantic search, hybrid search, and geosearch
这是继上一篇文章 “Elasticsearch:使用 Open AI 和 Langchain 的 RAG - Retrieval Augmented Generation (一)” 的续篇。在这篇文章中,我主要来讲述 ElasticVectorSearch的使用。 我们的设置和之前的那篇文章是一样的,只不过,在这里我们使用 ElasticVectorSearch 而不是 ElasticKnnSearch。 创建应用并展示 安装包 ...
AI搜索开放平台围绕智能搜索及RAG场景,将AI搜索链路中用到的算法服务以组件化形式提供,内置文档解析、文档切片、文本向量化、查询分析、召回、排序、效果评估以及LLM模型服务,开发者根据自身情况灵活选择组件服务进行搜索业务开发。说明AI搜索开放平台可免费开通,不使用
With RAG, you're augmenting prompts with proprietary data to direct the LLM to answer in a certain way based on contextual data. The retrieved information serves as a basis for generating coherent and contextually relevant text. This combination allows AI models to provide more accurate, ...