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Overview how I built my first MCP server and connected it to Claude Code and how it can be transformed into an AI agent.
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My notes from an article of how to do better RAG, that I want to implement in my thesis.
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Creating a set of tests that should be our testing pipeline for the RAG implementation.
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How do we determine if the LLM is performing in a way we would like.
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Building blocks of my RAG lego and their analysis.
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Writting the equivalent of Hello World in RAG landspace.
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First look at parsing pdfs, with different python modules and their results.
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First look at knowledge embedding techniques used with LLMs and the terms I encountered.
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This post is about my first look at private LLMs and the terms I encountered.