Deep Dive
Agentic RAG Architecture Patterns: From Router to Self-RAG (2026)
Agentic RAG is not ordinary RAG. I explain the router, ReAct, plan-execute, multi-agent retrieval and self-RAG patterns, and when to choose each.
15 minRAG
Blog archive
Showing 169–192 of 510 articles, newest first.
Guide
Do You Really Need a Reranker? A Benchmark and Decision Guide
Do you really need a reranker? When reranking adds value and when it is unnecessary in a RAG retrieval pipeline, cross-encoders, benchmarking, and a decision guide.
32 minRAG
Deep Dive
Chunking Strategies: Best Practices for Document Splitting in RAG
What are chunking strategies? Best practices for document splitting in RAG: chunk size, overlap, semantic chunking, and structure-aware methods, end to end.
32 minRAG
Guide
LLM Cost Optimization: A Guide to Prompt Caching, Batching and Model Routing
What is LLM cost optimization? Techniques that cut token cost in production: prompt caching, batching, model routing, prompt trimming, RAG context reduction and FinOps discipline.
31 minLLMs
Comparison
Turkish LLMs and Turkish NLP: State of the Art, Challenges, Model Selection
What is a Turkish LLM and why is Turkish hard for AI? A comprehensive enterprise guide to morphology, tokenization, model selection, language support and Turkish NLP tasks.
31 minTurkey
Guide
LLM Evaluation (Eval) Guide: Metrics, Benchmarks, Calibration
What is LLM evaluation? A comprehensive enterprise guide to eval metrics, benchmark and test set design, LLM-as-judge, calibration, RAG evaluation, and production monitoring.
33 minLLMs
Guide
How to Prevent LLM Hallucination? Verification Layers in Production
How is LLM hallucination prevented? A production guide to verification layers: RAG grounding, citations, guardrails, self-verification, output checks, and human oversight.
32 minLLMs
Deep Dive
On-Prem LLM Deployment: Hardware Requirements and Cost Calculation
On-prem LLM deployment guide: hardware requirements, GPU and VRAM, quantization savings, the serving stack, and on-prem vs API total cost of ownership calculation.
33 minLLMs
Comparison
Open Source LLM Comparison 2026: Llama, Qwen, Mistral, DeepSeek
Open source LLM comparison: the strengths, licenses, sizes, Turkish performance of Llama, Qwen, Mistral and DeepSeek, plus an enterprise model selection framework.
32 minLLMs
Deep Dive
Prompt Engineering: Enterprise Usage Patterns
What is prompt engineering and how is it applied at enterprise scale? Prompt patterns, system prompts, few-shot, chain of thought, prompt management and evaluation guide.
32 minPrompt
Comparison
Vector Database Comparison: Qdrant, Milvus, Weaviate, pgvector
Vector database comparison: we evaluate Qdrant, Milvus, Weaviate, and pgvector for enterprise RAG in terms of scale, performance, cost, data sovereignty, and benchmarking.
32 minRAG
Comparison
Vector Databases for RAG 2026: From Chroma to Milvus
pgvector or Qdrant? A 2026 production comparison on latency, hybrid search, and scale, with RAG evaluation metrics and self-hosted options for KVKK.
15 minRAG
Deep Dive
'Lost in the Middle' in Long Context: Context Management in the Million-Token Era (2026)
Even million-token windows lose the middle. Practical context management with the four pillars of context engineering, compression, RAPTOR, and memory systems.
14 minPrompt
Deep Dive
TokenOps: Managing LLM Costs with FinOps Discipline (2026)
Cutting LLM costs 38-68% with semantic caching, model tiering, and token telemetry. The practical TokenOps playbook and observability stack.
15 minLLMOps
Comparison
RAG or Fine-tuning? The 2026 Decision Framework (LoRA, QLoRA, RFT, GRPO)
Fine-tuning teaches behavior, RAG brings knowledge. The 'Prompt → RAG → Fine-tune → Distill' decision framework with LoRA/QLoRA adapters, RFT, and small language models.
15 minLLMs
Guide
Late Chunking and Contextual Retrieval: The 2026 RAG Chunking Playbook
The 2026 chunking strategy with late chunking, contextual retrieval, and agentic RAG. Which pipeline for which query? A production-oriented decision guide.
14 minRAG
Comparison
Enterprise LLM Selection in July 2026: Which Model for Which Job?
Claude Opus 4.8, GPT-5, Gemini 3, Grok 4... In July 2026 there is no 'best model,' only the right one. An enterprise selection framework by task, budget, and KVKK.
15 minLLMs
Deep Dive
EU AI Act GPAI Fines and Systemic Risk Obligations
GPAI enforcement starts August 2, 2026 with fines up to 3% of turnover or €15M. A 6-week compliance sprint for Turkish companies and the KVKK link.
15 minGovernance
Deep Dive
Agentic AI in E-commerce: Personalization, Conversational Commerce, and the KVKK Balance (2026)
Shopping agents, conversational commerce, and dynamic pricing drive conversion — how do you keep the KVKK balance? E-commerce use cases and risk mitigation.
15 minAgents
Deep Dive
AI Agent Governance: Why 90% of Pilots Never Reach Production
MIT: 95% of pilots deliver no measurable P&L. The three layers that carry agent pilots to production: measurement, infrastructure, strategy. A governance framework for CTOs/CDOs.
15 minAgents
Deep Dive
The A2A Protocol: Agent-to-Agent Communication and Enterprise Multi-Agent Architecture (2026)
MCP connects tools, A2A connects agents. The Agentic AI Foundation, signed Agent Cards, and the three-layer stack: the 2026 map of enterprise multi-agent architecture.
15 minAgents
Deep Dive
Transparency, Explicit Consent, VERBİS: KVKK Practice in AI Projects
KVKK practice in AI projects: the duty to inform, explicit consent, legitimate interest, VERBİS, the data-processing inventory, and DPIA explained step by step with templates.
33 minGovernance
Deep Dive
Sovereign Cloud and Data Sovereignty: AI Architecture for Regulated Sectors
What is sovereign cloud? It is a model that secures data sovereignty and data residency. Regulated sectors, KVKK, and cross-border data transfer for AI architecture in this guide.
32 minGovernance
Comparison
RAG or Fine-Tuning? A Decision Framework and Cost Comparison
RAG or fine-tuning? A decision framework, cost comparison, decision matrix, and hybrid approach: which scenario calls for RAG and which for fine-tuning, in this comprehensive guide.
30 minLLMs