Blog Archive
Knowledge Graphs for AI: GraphRAG Explained
Naive RAG misses the answer that connects many documents. GraphRAG builds a knowledge graph from text and queries it. Learn the indexing pipeline, community detection, and query modes.
Semantic Caching to Reduce Latency and Spend
Users ask the same question a hundred different ways. Semantic caching serves cached answers for similar queries — cutting LLM spend by up to 86% and latency from seconds to milliseconds.
LangGraph: Stateful, Graph-Based Agent Orchestration
LangGraph turns an agent into an explicit graph of nodes with durable state. Learn StateGraph, checkpointers, thread_id, and crash-resilient execution.
Tools, Function Calling, and the Agent Execution Loop
The agent loop is a model deciding which tools to call, observing results, and iterating. Learn function declarations, tool_choice modes, and parallel calling.
Vector Search at Scale: pgvector vs. Qdrant vs. Pinecone
Three vector stores, one decision. Compare pgvector, Qdrant, and Pinecone on latency, filtering, scale ceiling, and cost to pick the right one for your RAG stack.
Prompt Caching Strategies to Cut LLM API Costs
Cached input tokens are ~90% cheaper than fresh ones. Learn implicit vs explicit caching, TTL design, and how to structure prompts so your cache hits.
LLM Application Architecture Patterns in 2026
The architecture of an LLM application is no longer one prompt to one model. Learn the RAG, agentic, and caching patterns that production teams actually ship in 2026.
Beyond Gemini 3: Preparing for the Age of Fully Autonomous Digital Entities
Gemini 3 was the inflection, not the destination. Prepare your architecture, governance, and mindset for fully autonomous digital entities that run on their own.
The "Common-Sense" Benchmark: Testing Gemini 3 in Highly Ambiguous Scenarios
Bees drop, wet floors, no chairs left. Build a Common-Sense Benchmark that tests Gemini 3 where the answer is ambiguous, physical, and context-dependent — and where confident is dangerous.
Voice-Based Agentic OS: Building the Future with Flutter and Gemini 3
Your next operating system interface is speech. Build a voice-first agentic OS with Flutter and Gemini 3 — from wake word to autonomous task execution.
Gemini 3 for Smart Cities: Optimizing Infrastructure with Real-time Multimodal Data
Street cameras, traffic sensors, weather feeds, transit GPS — one agent, one reasoning loop. Use Gemini 3 to turn a city's multimodal data into real-time infrastructure decisions.
The "Ethics-by-Design" Framework: Embedding Values into Gemini 3 Agents
Don't bolt ethics on after the fact. Apply an Ethics-by-Design framework that embeds values, safety constraints, and audit trails directly into the Gemini 3 agent lifecycle.