Ollama rag api. Then, we'll dive into the code, demonstrating how to set up the API, create an embeddings index, and use RAG to generate responses. It delivers detailed and accurate responses to user queries. You can send requests to the API endpoint to retrieve model responses programmatically. How can I stream ollama:phi3 output through ollama (or equivalent) API? Is there a module out there for this purpose? I've searched for solutions but all I get is how to *access* the Ollama API, not provide it. 3k次，点赞2次，收藏3次。本文介绍了如何利用LlamaIndex、Qdrant、Ollama和FastAPI构建一个端到端的本地RAGAPI，以解决ChatGPT的局限性，如数据安全、实时更新和幻觉问题，同时确保对敏感数据的隐私保护。 ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector - danny-avila/rag_api Nov 30, 2024 · In this blog, we’ll explore how to implement RAG with LLaMA (using Ollama) on Google Colab. Jun 11, 2024 · 先日Open WebUIについて投稿したところ、多くの反響をいただきましたので、第2弾の投稿です。 Open WebUIのRAG機能を深堀りします。 前回構築した環境をベースとして解説します。 docker-compose. It demonstrates how to set up a RAG pipeline that does not rely on external API calls, ensuring that sensitive data remains within your infrastructure. 5 系列，为检索增强生成服务提供自然语言生成。 为了实现 RAG 服务，我们需要以下步骤：\n Apr 7, 2025 · この API を使うと、次のようなことが手軽に実行できます。 テキスト生成 会話 エンベディング生成（文章を数値ベクトルに変換） ツール呼び出し（対応モデルのみ） モデル管理（ダウンロード、リスト表示、削除など） これらの API により、Ollama はウェブアプリケーション、デスクトップ May 9, 2024 · A completely local RAG: . Jan 24, 2025 · Se você já desejou poder fazer perguntas diretamente a um PDF ou manual técnico, este guia é para você. Implement RAG section for our API First of all, we need to install our desired LLM (Here I chose LLAMA3. 1 ファイルアップロードのコード実装 Open Nov 19, 2023 · A practical exploration of Local Retrieval Augmented Generation (RAG), delving into the effective use of Whisper API, Ollama, and FAISS Jan 12, 2025 · This tutorial walks through building a Retrieval-Augmented Generation (RAG) system for BBC News data using Ollama for embeddings and language modeling, and LanceDB for vector storage. tryagi. 2 ・Ollama Ver. Feb 29, 2024 · 最近、Windowsで動作するOllama for Windows (Preview)を使って、Local RAG（Retrieval Augmented Generation）を体験してみました。この記事では、そのプロセスと私の体験をステ Jun 13, 2024 · We will be using OLLAMA and the LLaMA 3 model, providing a practical approach to leveraging cutting-edge NLP techniques without incurring costs. Jan 28, 2025 · 🤖 Ollama Ollama is a framework for running large language models (LLMs) locally on your Tagged with ai, rag, python, deepseek. 1w次，点赞42次，收藏102次。上一篇文章我们介绍了如何利用 Ollama+AnythingLLM 来实践 RAG ，在本地部署一个知识库。借助大模型和 RAG 技术让我可以与本地私有的知识库文件实现自然语言的交互。本文我们介绍另一种实现方式：利用 Ollama+RagFlow 来实现，其中 Ollama 中使用的模型仍然是Qwen2 Learn how to build a RAG app with Go using Ollama to leverage local models. ollama pull your_desired_model Learn how to create a fully local, privacy-friendly RAG-powered chat app using Reflex, LangChain, Huggingface, FAISS, and Ollama. Written in Go, it simplifies installation and execution Get up and running with Llama 3. Aug 13, 2024 · Dylan Muraco Posted on Aug 13, 2024 How to Create a Local RAG Agent with Ollama and LangChain # rag # tutorial # ai # python What is a RAG? RAG stands for Retrieval-Augmented Generation, a powerful technique designed to enhance the performance of large language models (LLMs) by providing them with specific, relevant context in the form of May 16, 2025 · In summary, the project’s goal was to create a local RAG API using LlamaIndex, Qdrant, Ollama, and FastAPI. Dec 18, 2024 · If you’d like to use your own local AI assistant or document-querying system, I’ll explain how in this article, and the best part is, you won’t need to pay for any AI requests. 5 : 模型部分使用阿里推出的 Qwen 2. LightRAG Server also provides an Ollama-compatible interface, aiming to emulate LightRAG as an Ollama chat model. This is just the beginning! Nov 25, 2024 · The initial versions of the Ollama Python and JavaScript libraries are now available, making it easy to integrate your Python or JavaScript, or Typescript app with Ollama in a few lines of code. Step-by-step guide with code examples, setup instructions, and best practices for smarter AI applications. Explore its retrieval accuracy, reasoning & cost-effectiveness for AI. A basic RAG implementation locally using Ollama. NET Langchain, SQLite and Ollama with no API keys required. Jan 11, 2025 · In this post, I cover using LlamaIndex LlamaParse in auto mode to parse a PDF page containing a table, using a Hugging Face local embedding model, and using local Llama 3. This approach combines the power of DeepSeek-R1 with the flexibility of Ollama and Gradio to create a robust and interactive AI application. It enables you to use Docling and Ollama for RAG over PDF files (or any other supported file format) with LlamaIndex. Building a local RAG application with Ollama and Langchain In this tutorial, we'll build a simple RAG-powered document retrieval app using LangChain, ChromaDB, and Ollama. io/Ollama/ api sdk rest ai csharp local dotnet openapi netstandard20 rag net6 llm langchain openapigenerator net8 ollama langchain-dotnet Readme MIT license Code of conduct Welcome to the ollama-rag-demo app! This application serves as a demonstration of the integration of langchain. Nov 4, 2024 · By combining Ollama with LangChain, developers can build advanced chatbots capable of processing documents and providing dynamic responses. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications. js, Ollama, and ChromaDB to showcase question-answering capabilities. Mar 24, 2024 · In my previous post, I explored how to develop a Retrieval-Augmented Generation (RAG) application by leveraging a locally-run Large Language Model (LLM) through Ollama and Langchain. - ollama/docs/api. Jan 2, 2025 · はじめに 今回は、Ollama・Langchain・Streamlitを使用して、ローカルで動く、RAGを使ったチャットボットを作成しました。自身の学習用に残します。他の方の学習に少しでも役立てると嬉しいです！ LLM Server このアプリの最も重要な要素の一つです May 14, 2024 · How to create a . Oct 9, 2024 · Ollama : 用于管理 embedding 和大语言模型的模型推理任务。 其中 Ollama 中的 bge-m3 模型将用于文档检索，Qwen 2. 它支持各种 LLM 运行器，如 Ollama 和 OpenAI 兼容的 API ，并 内置了 RAG 推理引擎 ，使其成为 强大的 AI 部署解决方案 。 RAG 的核心优势在于其强大的信息整合能力，这使其成为处理复杂对话场景的理想解决方案。 Apr 20, 2025 · It may introduce biases if trained on limited datasets. In other words, this project is a chatbot that simulates If you're using Ollama, note that it defaults to a 2048-token context length. Feb 14, 2025 · 文章浏览阅读1. Below, you will find the methods for managing files and knowledge collections via the API, and how to I want to access the system through interface like OpenWebUI, which requires my service to provide API like ollama. Feb 27, 2025 · 1. Boost AI accuracy with efficient retrieval and generation. 2) Rewrite query function to improve retrival on vauge questions (1. 1、基于 Ollama + Spring AI 的 RAG 实现-Ollama 是一个开源的大型语言模型服务, 提供了类似 OpenAI 的API接口和聊天界面,可以非常方便地部署最新版本的GPT模型并通过接口使用。支持热加载模型文件,无需重新启动即可切换不同的模型。 Feb 8, 2025 · 总的来说，该项目的目标是使用LlamaIndex、Qdrant、Ollama和FastAPI创建一个本地的RAG API。 这种方法提供了对数据的隐私保护和控制，对于处理敏感信息的组织来说尤其有价值。 This is ideal for building search indexes, retrieval systems, or custom pipelines using Ollama models behind the Open WebUI. Oct 16, 2024 · 3. This step-by-step guide covers data ingestion, retrieval, and generation. Step-by-Step Guide to Build RAG using May 21, 2024 · How to implement a local Retrieval-Augmented Generation pipeline with Ollama language models and a self-hosted Weaviate vector database via Docker in Python. When paired with LLAMA 3 an advanced language model renowned for its understanding and scalability we can make real world projects. Ollama是一个轻量级框架，用于运行本地AI模型。 文中详细列出了构建本地RAG系统所需的工具，包括Ollama和DeepSeek R1模型的不同版本，并提供了从导入库到启动Web界面的详细步骤，最后给出了完整的代码链接。 想要简化您的API工作流？ Jun 14, 2025 · DeepSeek R1とOllamaを用いて、高度な機能を持つRAGシステムを構築できます。質問への解答に加え、自律的に論理を議論することで、AIアプリケーションの新たな可能性を開拓します。 Mar 17, 2024 · In this RAG application, the Llama2 LLM which running with Ollama provides answers to user questions based on the content in the Open5GS documentation. 1 8b via Ollama to perform naive Retrieval Augmented Generation (RAG). This tutorial covered the complete pipeline from document ingestion to production deployment, including advanced techniques like hybrid search, query expansion, and performance optimization. 3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3. With RAG, we bypass these issues by allowing real-time retrieval from external sources, making LLMs far more adaptable. This means that retrieved data may not be used at all because it doesn’t fit within the available context window. In this article we will build a project that uses these technologies. Both libraries include all the features of the Ollama REST API, are familiar in design, and compatible with new and previous versions of Ollama. io. Sep 29, 2024 · rag with ollamaは、最新技術を駆使して情報検索やデータ分析を効率化するツールです。特に日本語対応が強化されており、国内市場でも大いに活用されています。Local RAGの構築を通じて、個別のニーズに応じたソリューションを提供で Aug 5, 2024 · Docker版Ollama、LLMには「Phi3-mini」、Embeddingには「mxbai-embed-large」を使用し、OpenAIなど外部接続が必要なAPIを一切使わずにRAGを行ってみます。 対象読者 Windowsユーザー CPUのみ（GPUありでも可） ローカルでRAGを実行したい人 Proxy配下 実行環境 Jun 24, 2025 · Building RAG applications with Ollama and Python offers unprecedented flexibility and control over your AI systems. Oct 15, 2024 · In this blog i tell you how u can build your own RAG locally using Postgres, Llama and Ollama Learn how to build a Retrieval Augmented Generation (RAG) system using DeepSeek R1, Ollama and LangChain. Sep 29, 2024 · 文章浏览阅读2. Both Mistral 7B on Ollama and the RAG Chatbot will be running on Fly. 1 8B using Ollama and Langchain by setting up the environment, processing documents, creating embeddings, and integrating a retriever. Step by step guide for developers and AI enthusiasts. Jun 14, 2024 · In this blog post we will build a RAG chatbot that uses 7B model released by Mistral AI on Ollama as the LLM model, and Upstash Vector as the retriever. 内容 2. 1 为什么选择DeepSeek R1？ 在这篇文章中，我们将探究性能上可与 OpenAI 的 o Jan 30, 2025 · Learn how to install, set up, and run DeepSeek-R1 locally with Ollama and build a simple RAG application. - curiousily/ragbase Get up and running with Llama 3. Feb 26, 2025 · Output: Ollama is a lightweight, extensible framework for building and running language models on the local machine. - ollama/ollama XRAG安装使用 XRAG安装使用主要分为三个主要步骤，首先安装Ollama，然后通过ollama安装DeepSeek R1模型，最后配置XRAG使用本地模型和知识库、运行评估以解锁全流程自动化评测能力。 1、Ollama安装 Ollama 是一个开源工具，允许用户在本地机器上运行 LLM，如 DeepSeek R1。 The LightRAG Server is designed to provide a Web UI and API support. In this blog post, I'll walk you through the process of building a RAG-powered API using FastAPI and OllamaLLM. 8w次，点赞34次，收藏64次。往期文章中，已经讲解了如何用ollama部署本地模型，并通过open-webui来部署自己的聊天机器人，同时也简单介绍了RAG的工作流程，本篇文章将会基于之前的内容来搭建自己的RAG服务，正文开始。_openwebui rag Jun 23, 2024 · Welcome to this comprehensive tutorial! Today, I’ll guide you through the process of creating a document-based question-answering… We would like to show you a description here but the site won’t allow us. Contribute to mtayyab2/RAG development by creating an account on GitHub. May 28, 2024 · 使用Ollama與MemoryKernel客製化實現本地RAG應用Embedding模型連結 Apr 12, 2024 · これらのメッセージをchatメソッドに渡すことで、Ollamaとの対話が開始されます。 さらに、LlamaIndexではストリーミングAPIも提供しています。 ストリーミングAPIを使うと、Ollamaの回答をリアルタイムで取得できます。 New embeddings model mxbai-embed-large from ollama (1. Feb 11, 2025 · Learn how to build a local RAG chatbot using DeepSeek-R1 with Ollama, LangChain, and Chroma. ai and download the app appropriate for your operating system. This API integrates with LibreChat to provide context-aware responses based on user-uploaded files. It enables you to create, manage, and interact with Retrieval-Augmented Generation (RAG) systems tailored to your documentation needs. It uses both static memory (implemented for PDF ingestion) and dynamic memory that recalls previous conversations with day-bound timestamps. 2) Pick your model from the CLI (1. Dec 5, 2023 · Okay, let’s start setting it up Setup Ollama As mentioned above, setting up and running Ollama is straightforward. Whether you're a developer, researcher, or enthusiast, this guide will help you implement a RAG system efficiently and effectively. NET Aspire-powered RAG application that hosts a chat user interface, API, and Ollama with Phi language model. To improve Retrieval-Augmented Generation (RAG) performance, you should increase the context length to 8192+ tokens in your Ollama model settings. Feb 1, 2025 · 你是否曾希望能够直接向 PDF 或技术手册提问？本指南将向你展示如何使用 DeepSeek R1（一个开源推理工具）和 Ollama（一个用于运行本地 AI 模型的轻量级框架）来构建一个检索增强生成（RAG）系统。RAG 系统示意图 … Dec 11, 2024 · 概述 在上一篇文章中 如何用 30秒和 5 行代码写个 RAG 应用？，我们介绍了如何利用 LlamaIndex 结合 Ollama 的本地大模型和在 Hugging Face 开源的 embedding 模型用几行 Python 代码轻松构建一个 RAG 应用。 Feb 2, 2025 · 是否想过直接向PDF文档或技术手册提问？本文将演示如何通过开源推理工具DeepSeek R1与本地AI模型框架Ollama搭建检索增强生成（RAG）系统。 Configure Retrieval-Augmented Generation (RAG) API for document indexing and retrieval using Langchain and FastAPI. With a focus on Retrieval Augmented Generation (RAG), this app enables shows you how to build context-aware QA systems with the latest information. 本文档详细介绍如何利用 DeepSeek R1 和 Ollama 构建本地化的 RAG（检索增强生成）应用。 同时也是对 使用 LangChain 搭建本地 RAG 应用 的补充。 Jul 30, 2024 · Why Ollama? Ollama stands out for several reasons: Ease of Setup: Ollama provides a streamlined setup process for running LLMs locally. Apr 8, 2024 · Embedding models are available in Ollama, making it easy to generate vector embeddings for use in search and retrieval augmented generation (RAG) applications. The integration of the RAG application and Aug 18, 2024 · 6. Pronto para potencializar seus testes de API? Não se Jul 21, 2024 · GraphRAG is an innovative approach to Retrieval-Augmented Generation (RAG) that leverages graph-based techniques for improved information retrieval. Get up and running with Llama 3, Mistral, Gemma, and other large language models. github. Modern applications demand robust solutions for accessing and retrieving relevant information from unstructured data like PDFs. Features Welcome to Docling with Ollama! This tool is combines the best of both Docling for document parsing and Ollama for local models. Here's what's new in ollama-webui: 🔍 Completely Local RAG Suppor t - Dive into rich, contextualized responses with our newly integrated Retriever-Augmented Generation (RAG) feature, all processed locally for enhanced privacy and speed. 2 by meta) using Ollama. 5 days ago · Retrieval-Augmented Generation (RAG) has revolutionized how we interact with large language models by combining the power of information retrieval with text generation. This blog walks through setting up the environment, managing models, and creating a RAG chatbot, highlighting the practical applications of Ollama in AI development. Aug 18, 2024 · 6. This allows AI chat bots, such as Open WebUI, to access LightRAG easily. This step-by-step guide walks you through building an interactive chat UI, embedding search, and local LLM integration—all without needing frontend skills or cloud dependencies. We will walk through each section in detail — from installing required… Mar 19, 2025 · RAG 应用架构概述 核心组件 Spring AI：Spring 生态的 Java AI 开发框架，提供统一 API 接入大模型、向量数据库等 AI 基础设施。 Ollama：本地大模型运行引擎（类似于 Docker），支持快速部署开源模型。 Spring AI Alibaba：对 Spring AI 的增强，集成 DashScope 模型平台。 Elasticsearch：向量数据库，存储文本向量化数据 Jan 31, 2025 · By combining Microsoft Kernel Memory, Ollama, and C#, we’ve built a powerful local RAG system that can process, store, and query knowledge efficiently. We'll start by explaining what RAG is and how it works. Aug 20, 2024 · はじめに 生成AIを業務に導入する際、RAGという手法がよく使われます。 RAGは企業の固有情報を元にカスタマイズされた回答を生成することが可能です。 今回はより精度の高い回答を得られると噂の「GraphRAG」をローカルで試してみました！ GraphRAGとは Gra Jan 23, 2025 · 文章浏览阅读4. 🧩 Retrieval Augmented Generation (RAG) The Retrieval Augmented Generation (RAG) feature allows you to enhance responses by incorporating data from external sources. Contribute to HyperUpscale/easy-Ollama-rag development by creating an account on GitHub. Figure 1 Figure 2 🔐 Advanced Auth with RBA C - Security is paramount. Watch the video tutorial here Read the blog post using Mistral here This repository contains an example project for building a private Retrieval-Augmented Generation (RAG) application using Llama3. Oct 12, 2024 · 文章浏览阅读3. 2、基于 Ollama + LangChain4j 的 RAG 实现-Ollama 是一个开源的大型语言模型服务, 提供了类似 OpenAI 的API接口和聊天界面,可以非常方便地部署最新版本的GPT模型并通过接口使用。支持热加载模型文件,无需重新启动即可切换不同的模型。 Jun 14, 2025 · Learn how to build a Retrieval-Augmented Generation (RAG) system using DeepSeek R1 and Ollama. 1), Qdrant and advanced methods like reranking and semantic chunking. 6. Chat with your PDF documents (with open LLM) and UI to that uses LangChain, Streamlit, Ollama (Llama 3. Feb 21, 2025 · 安装Ollama Ollama 是一个开源的大型 语言模型 （LLM）平台，旨在让用户能够轻松地在本地运行、管理和与大型语言模型进行交互。 Ollama 提供了一个简单的方式来加载和使用各种预训练的语言模型，支持 文本生成 、翻译、代码编写、问答等多种自然语言处理任务。 Ollama 的特点在于它不仅仅提供了 Feb 11, 2025 · I recently built a lightweight Retrieval-Augmented Generation (RAG) API using FastAPI, LangChain, and Hugging Face embeddings, allowing users to query a PDF document with natural language questions. 概述 掌握如何借助 DeepSeek R1 与 Ollama 搭建检索增强生成（RAG）系统。本文将通过代码示例，为你提供详尽的分步指南、设置说明，分享打造智能 AI 应用的最佳实践。 2. It supports various LLM runners like Ollama and OpenAI-compatible APIs, with built-in inference engine for RAG, making it a powerful AI deployment solution. 6k次，点赞19次，收藏53次。1、修改settings. Sep 5, 2024 · Learn to build a RAG application with Llama 3. yaml文件中实体类别如下位置：2、手动调整prompt自定义实体【LLM大模型】GraphRAG手调Prompt提取自定义实体。_ollama知识图谱 In this tutorial, we built a RAG-based local chatbot using DeepSeek-R1 and Chroma for retrieval, ensuring accurate, contextually rich answers to questions based on a large knowledge base. Mar 6, 2024 · Local Rag API endpoint - Fastapi Langchain Qdrant Ollama 4 days ago · Retrieval-Augmented Generation (RAG) combines the strengths of retrieval and generative models. RLAMA is a powerful AI-driven question-answering tool for your documents, seamlessly integrating with your local Ollama models. md at main · ollama/ollama Feb 3, 2025 · 是否想过直接向PDF文档或技术手册提问？本文将演示如何通过开源推理工具DeepSeek R1与本地AI模型框架Ollama搭建检索增强生成（RAG）系统。 高效工具推荐：用Apidog简化API测试流程 图片 Apidog作为一体化API解决方案，可实现： 零脚本自动化核心流程 无缝对接CI/CD管道 精准定位性能瓶颈 可视化接口管理 Feb 14, 2025 · In this tutorial, we will use Chipper, an open-source framework that simplifies building local RAG applications without cloud dependencies or API keys. 2, Ollama, and PostgreSQL. In this comprehensive guide, we’ll walk through creating a complete RAG system that runs entirely on your local machine using Ollama and the Gemma 2B model. 0. Passionate about open-source AI? Join our team → May 23, 2024 · Build advanced RAG systems with Ollama and embedding models to enhance AI performance for mid-level developers Feb 7, 2025 · :ollama``:cuda 🤝 Ollama/OpenAI API 集成：轻松集成兼容 OpenAI 的 API，与 Ollama 模型进行多功能对话。 自定义 OpenAI API URL 以链接 LMStudio、GroqCloud、Mistral、OpenRouter 等。 🧩 Pipelines、Open WebUI 插件支持：使用 Pipelines 插件框架 将自定义逻辑和 Python 库无缝集成到 Open WebUI 中。 SuperEasy 100% Local RAG with Ollama. It provides you a nice clean Streamlit GUI to chat Dec 30, 2024 · 文章浏览阅读1. 3w次，点赞20次，收藏51次。检索增强生成（Retrieval-Augmented Generation，RAG）是一种结合了信息检索和语言模型的技术，它通过从大规模的知识库中检索相关信息，并利用这些信息来指导语言模型生成更准确和深入的答案。这种方法在2020年由Meta AI研究人员提出，旨在解决大型语言模型 This project is a customizable Retrieval-Augmented Generation (RAG) implementation using Ollama for a private local instance Large Language Model (LLM) agent with a convenient web interface. The Web UI facilitates document indexing, knowledge graph exploration, and a simple RAG query interface. First, visit ollama. yaml docker-comp Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline. Ollama is a lightweight, extensible framework for building and running language models on the local machine. 5 将负责回答生成。 Qwen 2. Retrieval-Augmented Generation (RAG) is a cutting-edge approach combining AI’s Completely local RAG. This guide explains how to build a RAG app using Ollama and Docker. This approach offers privacy and control over data, especially valuable for organizations handling sensitive information. . This time, I… Dec 29, 2024 · A Retrieval-Augmented Generation (RAG) app combines search tools and AI to provide accurate, context-aware results. はじめに 前編 では環境構築から始め、ファイルを添付してRAGが問題なくできるところまでを確認しました。 今回はOpen WebUIでのRAGがどのように実行されているのか、コードを実際に見ていきます。 確認したバージョン ・Open WebUI Ver. Hoje, vamos construir um sistema de Geração Aumentada por Recuperação (RAG) utilizando o DeepSeek R1, uma poderosa ferramenta de raciocínio de código aberto, e Ollama, a estrutura leve para execução de modelos de IA locais. 1 and other large language models. 1) RAG is a way to enhance the capabilities of LLMs by combining their powerful language understanding with targeted retrieval of relevant Nov 21, 2024 · 想結合強大的大語言模型做出客製化且有隱私性的 GPTs / RAG 嗎？這篇文章將向大家介紹如何利用 AnythingLLM 與 Ollama，輕鬆架設一個多用戶使用的客製 Jul 23, 2024 · Using Ollama with AnythingLLM enhances the capabilities of your local Large Language Models (LLMs) by providing a suite of functionalities that are particularly beneficial for private and sophisticated interactions with documents. It is a structured, hierarchical approach as Feb 20, 2025 · Build an efficient RAG system using DeepSeek R1 with Ollama. - papasega/ollama-RAG-LLM Feb 13, 2025 · Open WebUI provides a REST API interface, allowing you to integrate the RAG-powered LLM into other applications. Dec 25, 2024 · Below is a step-by-step guide on how to create a Retrieval-Augmented Generation (RAG) workflow using Ollama and LangChain. Ollama helps run large language models on your computer, and Docker simplifies deploying and managing apps in containers. tmxb xcmlj yigo sacjrg chxqtx jpkeog lrzzdfp cakj ukapix wwyob