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‎localization/v2.5.x/site/ar/integrations/integrate_with_phidata.md

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</button></h1><p><a href="https://docs.agno.com/introduction">Agno</a>(المعروفة سابقًا باسم Phidata) هي مكتبة خفيفة الوزن لبناء وكلاء متعددي الوسائط. فهي تتيح لك إنشاء وكلاء متعددي الوسائط يمكنهم فهم النصوص والصور والصوت والفيديو، والاستفادة من مختلف الأدوات ومصادر المعرفة لإنجاز المهام المعقدة. يدعم Agno التنسيق بين الوكلاء المتعددين، مما يتيح لفرق من الوكلاء التعاون وحل المشكلات معًا. كما يوفر واجهة مستخدم جميلة للوكلاء للتفاعل مع وكلائك.</p>
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</button></h1><p><a href="https://colab.research.google.com/github/milvus-io/bootcamp/blob/master/bootcamp/tutorials/integration/integrate_with_phidata.ipynb" target="_parent">
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<img translate="no" src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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<a href="https://github.com/milvus-io/bootcamp/blob/master/bootcamp/tutorials/integration/integrate_with_phidata.ipynb" target="_blank">
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<p><a href="https://docs.agno.com/introduction">Agno</a>(المعروفة سابقًا باسم Phidata) هي مكتبة خفيفة الوزن لبناء وكلاء متعددي الوسائط. فهي تتيح لك إنشاء وكلاء متعددي الوسائط يمكنهم فهم النصوص والصور والصوت والفيديو، والاستفادة من مختلف الأدوات ومصادر المعرفة لإنجاز المهام المعقدة. يدعم Agno التنسيق بين الوكلاء المتعددين، مما يتيح لفرق من الوكلاء التعاون وحل المشكلات معًا. كما يوفر واجهة مستخدم جميلة للوكلاء للتفاعل مع وكلائك.</p>
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<p>تتيح قاعدة البيانات المتجهة Milvus تخزين المعلومات واسترجاعها بكفاءة في صورة تضمينات. باستخدام Milvus و Agno، يمكنك بسهولة دمج معرفتك في سير عمل وكيلك. هذا المستند هو دليل أساسي حول كيفية استخدام تكامل Milvus مع Agno.</p>
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‎localization/v2.5.x/site/ar/integrations/integration_with_mindsdb.json

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{"codeList":["CREATE DATABASE milvus_datasource\nWITH\n ENGINE = 'milvus',\n PARAMETERS = {\n \"uri\": \"./milvus_local.db\",\n \"token\": \"\",\n \"create_embedding_dim\": 3,\n \"create_auto_id\": true\n};\n","DROP DATABASE milvus_datasource;\n","CREATE TABLE milvus_datasource.test\n(SELECT * FROM sqlitedb.test);\n","SELECT * from milvus_datasource.test\nWHERE search_vector = '[3.0, 1.0, 2.0, 4.5]'\nLIMIT 10;\n","SELECT * from milvus_datasource.test\n","SELECT * FROM milvus_datasource.createtest\nWHERE category = \"science\";\n","DELETE FROM milvus_datasource.test\nWHERE id IN (1, 2, 3);\n","INSERT INTO milvus_test.testable (id,content,metadata,embeddings)\nVALUES (\"id3\", 'this is a test', '{\"test\": \"test\"}', '[1.0, 8.0, 9.0]');\n"],"headingContent":"Integrate Milvus with MindsDB","anchorList":[{"label":"تكامل Milvus مع MindsDB","href":"Integrate-Milvus-with-MindsDB","type":1,"isActive":false},{"label":"تثبيت MindsDB","href":"Install-MindsDB","type":2,"isActive":false},{"label":"مقدمة الوسيطات","href":"Arguments-Introduction","type":2,"isActive":false},{"label":"الاستخدام","href":"Usage","type":2,"isActive":false}]}

‎localization/v2.5.x/site/ar/integrations/integration_with_mindsdb.md

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‎localization/v2.5.x/site/ar/integrations/milvus_and_mcp.json

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{"codeList":["git clone https://github.com/zilliztech/mcp-server-milvus.git\ncd mcp-server-milvus\n","uv run src/mcp_server_milvus/server.py --milvus-uri http://localhost:19530\n","{\n \"mcpServers\": {\n \"milvus\": {\n \"command\": \"/PATH/TO/uv\",\n \"args\": [\n \"--directory\",\n \"/path/to/mcp-server-milvus/src/mcp_server_milvus\",\n \"run\",\n \"server.py\",\n \"--milvus-uri\",\n \"http://localhost:19530\"\n ]\n }\n }\n}\n","/PATH/TO/uv --directory /path/to/mcp-server-milvus/src/mcp_server_milvus run server.py --milvus-uri http://127.0.0.1:19530\n","{\n \"mcpServers\": {\n \"milvus\": {\n \"command\": \"/PATH/TO/uv\",\n \"args\": [\n \"--directory\",\n \"/path/to/mcp-server-milvus/src/mcp_server_milvus\",\n \"run\",\n \"server.py\",\n \"--milvus-uri\",\n \"http://127.0.0.1:19530\"\n ]\n }\n }\n}\n","uv run server.py --milvus-uri http://localhost:19530\n","What are the collections I have in my Milvus DB?\n","I'll check what collections are available in your Milvus database.\n\n> View result from milvus-list-collections from milvus (local)\n\nHere are the collections in your Milvus database:\n\n1. rag_demo\n2. test\n3. chat_messages\n4. text_collection\n5. image_collection\n6. customized_setup\n7. streaming_rag_demo\n","Find documents in my text_collection that mention \"machine learning\"\n","I'll search for documents about machine learning in your text_collection.\n\n> View result from milvus-text-search from milvus (local)\n\nHere are the documents I found that mention machine learning:\n[Results will appear here based on your actual data]\n","Create a new collection called 'articles' in Milvus with fields for title (string), content (string), and a vector field (128 dimensions)\n","I'll create a new collection called 'articles' with the specified fields.\n\n> View result from milvus-create-collection from milvus (local)\n\nCollection 'articles' has been created successfully with the following schema:\n- title: string\n- content: string\n- vector: float vector[128]\n"],"headingContent":"MCP + Milvus: Connecting AI with Vector Databases","anchorList":[{"label":"MCP + ميلفوس: ربط الذكاء الاصطناعي بقواعد بيانات المتجهات","href":"MCP-+-Milvus-Connecting-AI-with-Vector-Databases","type":1,"isActive":false},{"label":"مقدمة","href":"Introduction","type":2,"isActive":false},{"label":"المتطلبات الأساسية","href":"Prerequisites","type":2,"isActive":false},{"label":"الشروع في العمل","href":"Getting-Started","type":2,"isActive":false},{"label":"التطبيقات المدعومة","href":"Supported-Applications","type":2,"isActive":false},{"label":"استخدام MCP مع Claude Desktop","href":"Using-MCP-with-Claude-Desktop","type":2,"isActive":false},{"label":"استخدام MCP مع المؤشر","href":"Using-MCP-with-Cursor","type":2,"isActive":false},{"label":"التحقق من التكامل","href":"Verifying-the-Integration","type":2,"isActive":false},{"label":"أدوات خادم MCP لـ Milvus","href":"MCP-Server-Tools-for-Milvus","type":2,"isActive":false},{"label":"متغيرات البيئة","href":"Environment-Variables","type":2,"isActive":false},{"label":"التطوير","href":"Development","type":2,"isActive":false},{"label":"أمثلة","href":"Examples","type":2,"isActive":false},{"label":"استكشاف الأخطاء وإصلاحها","href":"Troubleshooting","type":2,"isActive":false},{"label":"الخلاصة","href":"Conclusion","type":2,"isActive":false}]}

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