Tag: Tag:ai
All the articles with the tag "ai".
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Graph-Based Memory Architectures in Agentic AI Systems
Graph-based memory architectures are transforming agentic AI by enabling long-term memory, relational reasoning, and context-aware planning. Research from 2023–2025 explores knowledge graphs, graph neural networks, and dynamic memory systems to give autonomous agents the ability to reason over structured relationships. Innovations like GraphRAG, temporal knowledge graphs, and hybrid memory stacks are being adopted in enterprise AI, healthcare, IT, and productivity tools. These graph-enhanced agents demonstrate improved memory, reduced hallucinations, and deeper reasoning capabilities, marking a key shift toward more reliable and autonomous AI systems.
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Building Agentic AI Systems - Part 7 - Putting It All Together
Part 7 - Complete implementation examples including basic agents, structured output extractors, and custom middleware. Summarizes best practices and key design decisions.
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Building Agentic AI Systems - Part 6 - Building Tools
Part 6 - Guide to creating type-safe tools with JSON Schema validation. Covers the Tool trait, ToolInput/ToolResult patterns, and ToolRegistry for runtime dispatch.
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Building Agentic AI Systems - Part 5 - Middleware Pipeline
Part 5 - Shows how to add logging, metrics, rate limiting, and other cross-cutting concerns without polluting core logic. Covers the onion execution model and all available hooks.
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Building Agentic AI Systems - Part 4 - The Stepper Pattern
Part 4 - Compares two reasoning strategies - ReactStepper (text-based THOUGHT/ACTION/OBSERVATION parsing) and FunctionCallingStepper (native LLM tool calling). Includes implementation details and selection guidance.
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Building Agentic AI Systems - Part 3 - Context Management
Part 3 - Deep dive into the dual-context pattern - AgentContext for clean user-facing conversations and ExecutionContext for full internal reasoning traces. Explains why this separation matters for debugging and UX.
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Building Agentic AI Systems - Part 2 - Core Architecture
Part 1 - Introduction to Agentic Agents - Explains what makes agentic agents different from traditional RAG systems. Covers the four key behaviors (reason, decide, iterate, adapt) and provides guidance on when to use each approach.
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Building Agentic AI Systems - Part 1 - Introduction to Agentic Agents
Part 1 - Introduction to Agentic Agents - Explains what makes agentic agents different from traditional RAG systems. Covers the four key behaviors (reason, decide, iterate, adapt) and provides guidance on when to use each approach.
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RAG & Agentic AI
Một câu chuyện thiền về RAG, Agentic AI và Orchestration qua hình ảnh ba vòng tròn trên cát. Chú tiểu khám phá cách “biết”, “làm” và “thấy” hòa thành một — nơi tri thức, hành động và tỉnh thức gặp nhau.