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AWS Vector Databases Explained: Semantic Search and RAG Systems
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AWS Vector Databases Explained: Semantic Search and RAG Systems

Dearah Mae Barsolasco2025-12-04T07:08:08+00:00

The generative AI (GenAI) revolution has transformed how organizations extract value from their data. While large language models (LLMs) demonstrate remarkable capabilities in understanding and generating human-like text, their true enterprise potential is unlocked only when they can access proprietary, domain-specific information. This necessity has propelled vector databases from a specialized niche into an essential pillar of modern AI infrastructure. But First, What Are Vector Databases? A vector database, as its name suggests, is a type of database designed to store, index, and efficiently search vector embeddings. These vectors are high-dimensional points that represent meaning. At its core, a vector [...]

AWS Vector Databases Explained: Semantic Search and RAG SystemsDearah Mae Barsolasco2025-12-04T07:08:08+00:00

Giving LLM Superpowers: The Magic of Model Context Protocol
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Giving LLM Superpowers: The Magic of Model Context Protocol

Rafael Miguel2025-05-22T16:03:46+00:00

Large Language Models (LLMs) are already incredibly powerful. They can generate human-like text, answer complex questions, and even write code. LLMs are great at creating content we can easily read and use but what if we could elevate them beyond just content creation? What if we could give them tools they could understand, use, and execute on their own? They would just need a simple description of the tools they have access to. Imagine giving your LLM superpowers, allowing it to do more by simply providing it with context about the tools you use and have. This isn't a futuristic [...]

Giving LLM Superpowers: The Magic of Model Context ProtocolRafael Miguel2025-05-22T16:03:46+00:00

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