Short and Long Memory: The Two-Tiered Architecture Every AI Agent Needs

Short and Long Memory: The Two-Tiered Architecture Every AI Agent Needs

For 2025, building a competitive AI agent is no longer just about the LLM—it's about the Memory Architecture that wraps it. Learn how to design a robust system using semantic caching for short-term memory and vector storage for long-term personalization.

guidedmindai

December 24, 2025

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Beyond Standard RAG - Why Contextual Retrieval Is the New Gold Standard for AI Accuracy

Beyond Standard RAG - Why Contextual Retrieval Is the New Gold Standard for AI Accuracy

Standard RAG systems often fail when documents are split into chunks, losing critical context. We explore 'Contextual Retrieval'—a breakthrough technique combining Contextual Embeddings and Hybrid Search (BM25 + Semantic) to reduce retrieval failures by up to 50%.

guidedmindai

December 8, 2025

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Building Your First AI Agent: Connecting RAG to n8n

Building Your First AI Agent: Connecting RAG to n8n

Before an AI Agent can take action, it needs to 'think'. This tutorial shows how to connect a Guided Mind RAG knowledge base to n8n—the first step in building a fully autonomous agent.

guidedmindai

December 8, 2025

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Why AI Agents Fail: Fixing Context Limits with No-Code RAG

Why AI Agents Fail: Fixing Context Limits with No-Code RAG

Is your AI agent suffering from amnesia? Learn why LLM context windows cause hallucinations and how Retrieval-Augmented Generation (RAG) fixes it without writing code.

guidedmindai

December 8, 2025

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