@kassandra_tv: Yıllarca Mansur Yavaş'a engel çıkaranlar Trump için gül bahçesi yaptılar. Bir ülkenin itibarı, yabancı heyetlerin geçtiği cilalı caddelerde değil; kendi vatandaşının her gün yürüdüğü çukurlu sokaklarda belli olur. Misafir gelince salonu açmak devlet ciddiyeti değildir. Devlet ciddiyeti, o evde yaşayan insanlara her gün insan gibi yaşamayı layık görmektir. https://youtu.be/zkOa6Wb0iSc #NATO #Ankara #MansurYavaş #ABB #AnkaraBüyükşehirBelediyesi #Türkiye #Siyaset #Gündem #DevletCiddiyeti #Şehircilik #YerelYönetim #Belediye #Vatandaş #KamuYönetimi #TürkiyeSiyaseti #AnkaraGündemi #SiyasiYorum #SerinGündem #KassandraTV #OnurAydın

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Tuesday 07 July 2026 16:30:12 GMT

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kendimi7dim :

na anlatıyon dayi

2026-07-08 02:22:37

14

Raa :

bu ne diyo laaa

2026-07-08 05:19:53

8

Bülent Çalışkan :

ne alaka

2026-07-08 04:46:28

3

Adem Yılmaz :

bu işi belediye işi değilmi

2026-07-08 05:38:29

1

murat celik :

emmi iyimisin

2026-07-08 03:27:58

4

SeNCeR__ :

bu kim

2026-07-08 03:47:59

1

FAKİR KRAL78 :

Helal olsun kardeşim 👍

2026-07-08 06:55:26

0

Ramo :

2026-07-07 17:42:38

8

user2396612707404 :

belediye başkanı ne iş yapıyo

2026-07-08 00:40:49

4

Servet Ağaç :

suyu pahalı satması nı da akp yaptı .. 😁

2026-07-07 18:30:35

11

Yörük :

yolunu yapmayan belediye başkanı işi ne 😂

2026-07-07 22:38:21

5

Evinamin welatimin :

Adamsin

2026-07-07 16:37:25

6

Ayaslan :

Savcılar bi soruşturma açmak yok mu 🤔

2026-07-07 17:31:46

1

ismail gürsoy Şatıroğlu :

kime engel çıkarmış belediyenin ne işi var

2026-07-07 23:45:26

4

one :

bu sahsin aciklamalarindan anoiyoruzki belediye calismiypr

2026-07-08 00:10:12

1

Melahat Aksu :

size hergün her konuda hak vermemek mümkün değil ağzına sağlık 👏👏👏🇹🇷

2026-07-07 21:18:16

2

srkkara34 :

Heheeeeee

2026-07-07 21:15:24

2

Ramazan Bekleviç :

Süper tespit 🙋‍♂️

2026-07-07 19:50:49

1

🌹🌹🌹 SULTAN 64/03🌹🌹🌹 :

harbi İYİ AİLE ÇOCUKLARISINIZ

2026-07-08 06:11:54

1

VEYSEL EMİN :

he he bizde yedik 😂😂

2026-07-08 06:51:36

0

yanlız kurt :

onu büyük şehir belediyesşnin görevi

2026-07-08 06:29:54

0

Mehmet sagdic :

Ağzı olan konusuyor

2026-07-08 06:44:02

0

mehmet :

Varol yiğit insan

2026-07-08 06:51:31

0

AKREP :

Mansur yapmadığı için

2026-07-08 06:52:59

0

one :

belediye baskani trafik soruninu yol yapmamaklami cozum bullanmidir

2026-07-08 00:05:41

0

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## Navigation Guide: The Modern AI Tool Stack Building in AI right now can feel like trying to assemble a puzzle when new pieces are being dumped onto the table every single second. If you are trying to make sense of how all these technologies actually fit together, image.png provides an excellent breakdown of **The Modern AI Ecosystem**. It moves us past just talking about foundational models and outlines the actual infrastructure required to build production-grade, autonomous applications. ### The 5 Core Pillars of the Stack To build a sophisticated AI application today, you need to look beyond the LLM layer: * **The Brains (LLM & Agentic AI):** Moving from static text generation to dynamic execution. Frameworks like **LangGraph**, **CrewAI**, and **AutoGen** are shifting us from simple prompts to multi-agent systems that can plan, reason, and collaborate. * **The Context (RAG & Embedding):** An LLM is only as good as the data it can access. Tools like **LlamaIndex**, **Haystack**, and specialized embedding models bridge the gap between static model weights and your proprietary enterprise data. * **The Infrastructure (MCP & Vector Databases):** The **Model Context Protocol (MCP)** is rapidly emerging to standardize how AI connects to data sources (like GitHub, Slack, and Postgres). Meanwhile, vector databases like **Pinecone**, **Weaviate**, and **Chroma** handle the heavy lifting of high-dimensional data retrieval. * **The Guardrails (AI Security & Observability):** You can't ship to production without safety and tracking. Frameworks like **NVIDIA NeMo**, **LangSmith**, and **Arize Phoenix** ensure your agents stay on track, remain secure, and provide measurable ROI. * **The Continuity (Memory & Automation):** For an AI to be truly useful, it needs long-term memory (**Mem0**, **Letta**) and the ability to trigger real-world workflows via automation tools like **n8n**, **Zapier**, and **Make**. ### The Takeaway The takeaway here is clear: **The competitive advantage is no longer just the model you use; it’s the ecosystem you build around it.** The value has officially shifted to orchestration, context management, memory, and security. What does your team's AI tech stack look like right now? Are you heavily favoring an all-in-one platform, or are you assembling a modular, best-of-breed pipeline? #ArtificialIntelligence #AIEcosystem #GenerativeAI #AIStack #TechInnovation

## Navigation Guide: The Modern AI Tool Stack Building in AI right now can feel like trying to assemble a puzzle when new pieces are being dumped onto the table every single second. If you are trying to make sense of how all these technologies actually fit together, image.png provides an excellent breakdown of **The Modern AI Ecosystem**. It moves us past just talking about foundational models and outlines the actual infrastructure required to build production-grade, autonomous applications. ### The 5 Core Pillars of the Stack To build a sophisticated AI application today, you need to look beyond the LLM layer: * **The Brains (LLM & Agentic AI):** Moving from static text generation to dynamic execution. Frameworks like **LangGraph**, **CrewAI**, and **AutoGen** are shifting us from simple prompts to multi-agent systems that can plan, reason, and collaborate. * **The Context (RAG & Embedding):** An LLM is only as good as the data it can access. Tools like **LlamaIndex**, **Haystack**, and specialized embedding models bridge the gap between static model weights and your proprietary enterprise data. * **The Infrastructure (MCP & Vector Databases):** The **Model Context Protocol (MCP)** is rapidly emerging to standardize how AI connects to data sources (like GitHub, Slack, and Postgres). Meanwhile, vector databases like **Pinecone**, **Weaviate**, and **Chroma** handle the heavy lifting of high-dimensional data retrieval. * **The Guardrails (AI Security & Observability):** You can't ship to production without safety and tracking. Frameworks like **NVIDIA NeMo**, **LangSmith**, and **Arize Phoenix** ensure your agents stay on track, remain secure, and provide measurable ROI. * **The Continuity (Memory & Automation):** For an AI to be truly useful, it needs long-term memory (**Mem0**, **Letta**) and the ability to trigger real-world workflows via automation tools like **n8n**, **Zapier**, and **Make**. ### The Takeaway The takeaway here is clear: **The competitive advantage is no longer just the model you use; it’s the ecosystem you build around it.** The value has officially shifted to orchestration, context management, memory, and security. What does your team's AI tech stack look like right now? Are you heavily favoring an all-in-one platform, or are you assembling a modular, best-of-breed pipeline? #ArtificialIntelligence #AIEcosystem #GenerativeAI #AIStack #TechInnovation

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