Guide
Agent Payments Protocol (AP2): How AI Agents Pay Securely on Your Behalf
AP2, signed mandates, its relation to ACP, and agentic commerce in Turkey's BDDK/KVKK context — what e-commerce businesses should do, from the field.
16 minAgents
Blog archive
Showing 145–168 of 540 articles, newest first.
Comparison
Vector Database Comparison 2026: Pinecone, Weaviate, Qdrant, Milvus, pgvector
2026 vector database guide: Pinecone, Weaviate, Qdrant, Milvus, pgvector comparison table, decision framework, cost, KVKK, and the 'start with pgvector' advice.
14 minRAG
Deep Dive
Shadow AI: Managing Employees' Unsanctioned AI Use
Employees are already pasting company data into unsanctioned AI tools. Why banning fails, a governance-first approach, and the KVKK generative-AI workplace guideline.
16 minGovernance
Deep Dive
Hybrid Search in RAG: Boosting Accuracy with BM25 + Vector + Reranking
The way to boost RAG accuracy is hybrid search: combining BM25 and vector with RRF and adding a cross-encoder reranker. The numbers, the architecture, and Turkish tips.
15 minRAG
Deep Dive
AI in Manufacturing 2026: A View from the Field, from Predictive Maintenance to Visual Inspection
AI in manufacturing 2026: the four ROI areas, the PoC-to-production leap, synthetic data, the ROI calculation, and a field roadmap with KVKK/EU AI Act notes for the Turkish manufacturer.
14 minStrategy
Comparison
The July 2026 Frontier Model Landscape: Claude Opus 5, GPT-5.6, Gemini 3.x, Grok 4.5 and Kimi K3
July 2026 packed five major models into two weeks. Model selection by use case, a comparison table, and an enterprise framework centered on KVKK and the EU AI Act.
14 minLLMs
Deep Dive
Prompt Optimization with DSPy: From Hand-Writing Prompts to Programmable Pipelines
Moving from hand-writing prompts to programmable pipelines with DSPy: signature, module, optimizer concepts, code examples, metric definition, a Turkish task, and KVKK-compliant production.
14 minPrompt
Explainer
What Is DPO (Direct Preference Optimization)? A Leaner Alternative to RLHF
DPO aligns LLMs to human preferences without a separate reward model or RL. Loss intuition, beta, preference data, RLHF comparison, KVKK, and a Turkish example.
14 minLLMs
Deep Dive
Memory Architectures in AI Agents: Building Agents That Remember Across Sessions
In 2026 agent memory is a layer separate from the context window. Short/long-term memory, Letta, Mem0, Cognee and KVKK-compliant production design.
15 minAgents
Comparison
Vector Database Comparison 2026: Qdrant, Pinecone, Weaviate, Milvus and pgvector
We compare Qdrant, Pinecone, Weaviate, Milvus and pgvector on scale, latency, hybrid search and KVKK. A 2026 decision flow, table, and selection checklist.
14 minRAG
Comparison
2026 Frontier Model Comparison: GPT-5.6, Claude Opus 4.8, Gemini 3.1 and Beyond
There is no single best model in 2026: how to match GPT-5.6, Claude Opus 4.8, Fable 5, Gemini 3.1 and open models to the job, plus routing and KVKK guidance.
14 minLLMs
Deep Dive
AI in Insurance: Claims, Underwriting and KVKK
Claims automation, underwriting, fraud detection and policy RAG. AI use cases in insurance and KVKK obligations for high-risk automated decisions.
19 minGovernance
Comparison
RAG or Long Context Window? Choosing the Right Architecture in 2026
RAG or long context in the million-token era? A practical guide to hybrid architecture, BM25 + vector, RRF, reranking, contextual retrieval, and the KVKK angle.
14 minRAG
Deep Dive
Prompt Management and Versioning: Treating Prompts Like Software in Production
In production, prompts are living software assets. Registry, semantic versioning, evaluation, observability, rollback, and KVKK/EU AI Act compliance.
14 minPrompt
Deep Dive
Reinforcement Fine-Tuning (RFT), DPO and GRPO: LLM Customization Methods in 2026
Choose SFT, DPO/ORPO/KTO or RFT/GRPO by the data you have. A 2026 fine-tuning guide: method table, RAG comparison, KVKK, and a project checklist.
14 minLLMs
Guide
The 2026 Guide to Cutting LLM Costs: Caching, Routing and Batching
The three layers of cutting the LLM bill: model, system and application. Prompt caching, model routing, batching and Turkey-specific FX and KVKK risks.
15 minLLMOps
Deep Dive
Shadow AI Governance: Managing the Invisible Risk
Shadow AI is a daily reality for most employees in 2026. Banning backfires: a discovery playbook, risk table, 30/60/90 plan, and KVKK and EU AI Act guidance.
14 minGovernance
Comparison
EU AI Act GPAI Timeline: Provider or Deployer?
On August 2, 2026 GPAI enforcement powers go live. Scope, provider-vs-deployer, Article 50 transparency, and a concrete compliance checklist for Turkish companies.
14 minGovernance
Deep Dive
Memory Architectures for AI Agents: Designing Short- and Long-Term Memory
Short- and long-term memory architecture for AI agents: vector DBs, summary buffers, decay policies, the ACE loop, failure modes, and KVKK-ready compliance patterns.
14 minAgents
Comparison
Vector Database Selection 2026: Qdrant, pgvector, Pinecone, and Milvus Compared
Not 'which one' but 'which fits me.' Real benchmark data, a decision framework, the recall-latency tradeoff, and KVKK/data residency. Synthetic benchmarks lie.
11 minRAG
Deep Dive
RAG Evaluation 2026: Measuring Quality with Faithfulness, Context Precision, and Ragas
Measure your RAG system's real quality with four core metrics: faithfulness, answer relevance, context precision, and recall. Ragas, LLM-as-a-judge, and Turkish challenges.
13 minRAG
Deep Dive
From Prompt Engineering to Context Engineering 2026: 'Prompt Out, Context In'
As Gartner puts it, context engineering is in, prompt out. How the role evolved, patterns that still work (CoT, few-shot), and managing context at enterprise scale.
12 minPrompt
Roundup
LLM Observability Tools 2026: Tracing, Evaluation, and Hallucination Monitoring
Observability is now a production prerequisite. Tracing vs evaluation, hallucination detection, LangSmith/Langfuse/MLflow, and self-hosting options for KVKK.
12 minLLMOps
Comparison
LLM API Price Comparison July 2026: GPT-5, Claude, Gemini, DeepSeek
The July 2026 LLM API price table, a TCO framework, and cost-cutting levers. Why cheapest isn't always right, plus the KVKK/data-residency dimension.
12 minLLMs