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1. Critical Security Vulnerabilities in the Model Context Protocol (MCP): How Malicious Tools and Deceptive Contexts Exploit AI Agents

   The article details five security vulnerabilities in the Model Context Protocol (MCP): Tool Poisoning, Rug-Pull Updates, Retrieval-Agent Deception (RADE), Server Spoofing, and Cross-Server Shadowing. It explains how these vulnerabilities could compromise user safety and data integrity in AI agent systems.

   2025-05-27 Tags: model context protocol, cybersecurity, agents, lm by klotz
2. How to Use Hybrid Search for Better LLM RAG Retrieval

   Combining dense embeddings with BM25 for advanced local LLM RAG pipeline

   2024-08-12 Tags: rag, lm, bm25, hybrid search, semantic search, keyword search by klotz

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