PinnedGianmario Spacagna·Dec 4, 2025Information vs. Knowledge Retrieval: Why Agents Need Contextualized UnderstandingThe fundamental difference between Information Retrieval (IR) and Knowledge Retrieval (KR) for building trustworthy agents
Gianmario Spacagna·1d agoBlueprint: Achieving Trustworthy Knowledge in Agentic Retrieval SystemsA Survey of State-of-the-Art Techniques for Extending Agentic RAG with Greater Efficiency and Learning Capabilities
Gianmario Spacagna·Jul 10Continual Learning: Updating Knowledge Bases and Long-Term MemoryThe role of knowledge learning and user-scoped memory in personalization and trust.
Gianmario Spacagna·Jun 16Caching Strategies for Agentic Retrieval SystemsSession, tool, and data-layer caching patterns for latency, consistency, and cost reduction
Gianmario Spacagna·Jun 16Evaluating Agentic Retrieval Systems: Quality, Cost, and Latency Across Every LayerWhy robust evaluation requires measuring each component — not just the final answer.
Gianmario Spacagna·Apr 20Multi-Index Retrieval: Proven Strategies for Efficient, Accurate Knowledge AccessHow text, vector, graph, and relational indexes work together to support agentic reasoning.
Gianmario Spacagna·Apr 2Knowledge as a First-Class Citizen: From Documents to a Structured Knowledge BaseBuilding a single source of truth with ML-powered ingestion, entity linking, and structured knowledge curation.
Gianmario Spacagna·Mar 24ReAct + Reflexion Agentic Design Patterns for Explicit ReasoningWhy think and reflect steps matter for traceability, planning, and error recovery.
Gianmario Spacagna·Jan 6Agent-to-Agent Cooperation in Retrieval TasksHow Supervisor–Retriever interactions create iterative, stateful, higher-quality retrieval.A response icon1A response icon1
Gianmario Spacagna·Dec 9, 2025The Evolution Beyond RAG and the Open Challenges in Agentic SystemsWhy static pipelines fail, why dynamic retrieval remains expensive, and what modern agentic retrieval adds.
