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From Concept to Code: Build Your First MCP Server

2025-08-27T16:27:09+00:00

For a long time now, LLMs or large language models have been going around the tech industry with its massive knowledge on languages. They can comprehend and even generate human language with bull's-eye fluency. Nevertheless, despite their strengths, powerful as they are, these intelligent models act in isolation. They have no hands to implement and interact with the world; they lack the ability to connect to databases, fetch data, or even trigger an action in a completely different application. Consequently, this lack of ability incapacitates the LLM's high potential when communicating with machines. This is why the introduction of the [...]

From Concept to Code: Build Your First MCP Server2025-08-27T16:27:09+00:00

Zero-Infrastructure Vector Search with Amazon S3 Vectors

2025-08-22T14:27:33+00:00

  The world of generative AI is evolving at a rapid pace and one of the most powerful and practical applications is Retrieval-Augmented Generation (RAG). RAG enhances Large Language Models (LLMs) by giving them access to external, up-to-date knowledge bases. This allows them to generate more accurate and context-aware responses. Traditionally, building a RAG system required setting up and managing a separate vector database that adds complexity, cost, and a new layer of infrastructure to maintain however with the introduction of Amazon S3 Vector Buckets a new paradigm has emerged: zero-infrastructure vector search. What is Zero-Infrastructure Vector Search? Amazon S3 [...]

Zero-Infrastructure Vector Search with Amazon S3 Vectors2025-08-22T14:27:33+00:00

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