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Embedding Architectures for Agents and LLM Integration

When you have a large fire storage with,: PDF, Movies in MOV, MP4, audio, music, podcasts, DOCX, Excel, all are located in a drive. And you want to take advantage of AI, you need to create a database of embeddings or vectros: .First, you I need to build a system to index them to be searchable Second, you may want

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Model Context Protocol for Youtube

I added a Model Context Protocol (MCP) module that can be integrated to your Claude Code, or any LLM. MCPs integrate experiences and content with Large Language Models, any model that you can run and execute is compative with the MCP specification. In my case I am using Llama.cpp running a model in a dual spark DGX system, the models

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