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,如此以来让AI按照人类思路分步骤(1、定选题;2、查资料;3、列大纲;4、写正文)撰写材料成为可能。 项目介绍 Open WebUI 是一个可扩展、功能丰富且用户友好的自托管 WebUI,...
1. 下载源代码,通过Git克隆RAG-GPT的GitHub仓库: gitclonehttps://github.com/open-kf/rag-gpt.git &&cdrag-gpt 2.配置环境变量 在启动RAG-GPT服务之前,需要修改相关配置,以便程序正确初始化。 如果使用智谱AI作为LLM底座 cp env_of_zhipuai.env .env 文件中的变量 LLM_NAME="ZhipuAI"ZHIPUAI_API_KEY="x...
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, for enhanced contextual understanding. It also seamlessly integrates with leading vecto...
Exact KNN Search (Brute Force) - ExactRetrievalStrategy() Index / Search Documents using ELSER - SparseVectorRetrievalStrategy() 这是继之前文章: Elasticsearch:使用 Open AI 和 Langchain 的 RAG - Retrieval Augmented Generation (一) Elasticsearch:使用 Open AI 和 Langchain 的 RAG - Retrieval Augmente...
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. ragflow.io Topics nlp agent deep-learning chatbot pdf-to-text agents document-parser ai-search rag document-understanding text2sql table-structure-recognition llm chatgpt genai retrieval-augm...
Open-Source RAG Assistant DocsGPT is an open-source genAI tool that helps users get reliable answers from any knowledge source, while avoiding hallucinations. It enables quick and reliable information retrieval, with tooling and agentic system capability built in. ⚡️ Quickstart • ☁️...
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
Explore how RamaLama makes it easier to share data with AI models using retrieval-augmented generation (RAG), a technique for enhancing large language models. Article Enable 3.5 times faster vision language models with quantization Shubhra Pandit +4 April 1, 2025 Learn how quantized vision-lang...
作为改进RAG实现的一部分，一个关键步骤是重新排序（Reranking）。重新排序模型是一种计算给定查询和文档对匹配分数的模型。然后可以利用这个分数重新排列向量搜索结果，确保最相关的结果优先排列在列表顶部。OpenIM Bot中的Reranking RAG-GPT始终秉持用户第一，在引入Reranking策略时，优先考虑轻量简介的模型，降低用户...
Génération à enrichissement contextuel (RAG) pour les applications d’IA générative Améliorez la précision et la pertinence des réponses issues de grands modèles de langage (LLM) en incorporant la génération à enrichissement contextuel (RAG) à OpenSearch Service en tant que base de...