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@TheDotNetOffice

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๐Ÿš€ Empowering Developers | ๐ŸŽ“ .NET | C# | Angular | SQL | AI | AgenticAI helping developers with real-world solutions & tutorials ๐Ÿ“บ https://t.co/zXEFFnaqfD

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Joined May 2012
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@TheDotNetOffice
The DotNetOffice
11 months
Python Full course from basic to advance for beginner | Learn python Programming ย @TheDotNetOfficeย  . #python #pythonprogramming #coding #ai #course #tutorial #coding #developer #video.
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@TheDotNetOffice
The DotNetOffice
2 days
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@TheDotNetOffice
The DotNetOffice
3 days
#Angular 20.1 is released๐Ÿ”ฅ.here is more about it. #Web3 #web #WebDev #WebDevelopment.
@AngularLovePL
angular.love
4 days
#Angular 20.1 is out ๐Ÿ”ฅ .Hereโ€™s a quick summary of whatโ€™s new โ€” all in one place ๐Ÿ‘‡ . ๐Ÿ”— Read the article ->
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@TheDotNetOffice
The DotNetOffice
4 days
This is the ultimate Kubernetes Microservices Observability Stack. #Kubernetes #docker #developer #github #devops #ocp #aws #Azure #azurelane #AI
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@TheDotNetOffice
The DotNetOffice
5 days
๐ƒ๐ž๐ฉ๐ฅ๐จ๐ฒ๐ข๐ง๐  ๐Œ๐ข๐œ๐ซ๐จ๐ฌ๐ž๐ซ๐ฏ๐ข๐œ๐ž๐ฌ ๐จ๐ง ๐Š๐ฎ๐›๐ž๐ซ๐ง๐ž๐ญ๐ž๐ฌ ๐๐ฅ๐š๐ญ๐Ÿ๐จ๐ซ๐ฆ #nextgenai #artificialintelligence #ai #microsoft. #csharp #dotnet #developer #coding #aspnet #mcp #dotnetcore #DevCommunity.
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@TheDotNetOffice
The DotNetOffice
6 days
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@TheDotNetOffice
The DotNetOffice
12 days
๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—”๐—น๐—ด๐—ผ๐—ฟ๐—ถ๐˜๐—ต๐—บ๐˜€. #AI #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI #ChatGPT #OpenAI #GPT4 #healthcare #Health #dotnet #AIinEducation #python #DataScientists #DevelopersIO #developers #developing #DeveloperCommunity
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@TheDotNetOffice
The DotNetOffice
13 days
Thread 5๐Ÿ‘‰๐Ÿ‘‰. --Agentic RAG--. 4. Agent merges all the data, builds a smart prompt, and sends it to the LLM. 5. LLM gives you a more accurate, dynamic answer. Agentic RAG is smarter, more flexible, and handles complex queries. #developer #dotnet #csharp #AI #agentic #AgenticAI.
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@TheDotNetOffice
The DotNetOffice
13 days
Thread 4๐Ÿ‘‰. ---Agentic RAG---.1. Your query goes to an AI agent. 2. The agent tracks context, decides the best retrieval method, and chooses tools. 3. It fetches data using things like vector search and multiple agents. #agenticai #mca #python.
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@TheDotNetOffice
The DotNetOffice
13 days
Thread 3๐Ÿ‘‰๐Ÿ‘‰. Agentic RAG on the other hand is able to make decisions, select tools, and even refine queries for more accurate responses. #AI #llm #GPT5 #DevCommunity #python #datasc.
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@TheDotNetOffice
The DotNetOffice
13 days
Thread 2๐Ÿ‘‰๐Ÿ‘‰. ---RAG (Retrieval Augmented Generation)---.1. Model fetches info from your database. 2. It combines that info with your question. 3. The LLM (like GPT or Gemini) generates an answer. Simple, but limited. RAG just grabs info and responds. No flexibility or context.
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@TheDotNetOffice
The DotNetOffice
13 days
Thread 1 ๐Ÿ‘‰๐Ÿ‘‰. RAG vs Agentic RAG. RAG (Retrieval Augmented Generation) is a method to retrieve information with LLMs. Just like a Q&A bot. #RAG #agentic #agenticrag #AgenticAI #llm #python #DataScientists #developer #coding #ai
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@TheDotNetOffice
The DotNetOffice
13 days
๐Ÿš€ With MCP, you only need one unified connection to the protocol, which then manages all the app-specific APIs for you. This means:.-> Less integration work.-> Easier to add new apps.-> Cleaner, centralized management. #mcp #agent #agentic #AgenticAI #developer #developers #ai.
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@TheDotNetOffice
The DotNetOffice
13 days
Thread-1 ๐Ÿ‘‰๐Ÿ‘‰๐Ÿš€ How Model Context Protocol (MCP) Simplifies Integrations with LLMs. Before MCP, connecting your language model to apps like Slack, Drive, or GitHub meant building separate APIs for each โ€” a lot of extra work.
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@TheDotNetOffice
The DotNetOffice
13 days
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@TheDotNetOffice
The DotNetOffice
14 days
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