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A treasure trove for developers and AI practitioners. This comprehensive open-source GitHub repository features curated learning paths, production MCP server configs, RAG blueprints, and system prompt architectures.
Master AI Skills GitHub Repositorycoding
Enterprise RAG Architecture Review & Pipeline
A treasure trove for developers and AI practitioners. This comprehensive open-source GitHub repository features curated learning paths, production MCP server configs, RAG blueprints, and system prompt architectures.
Length~21 words
Token Estimate~28 tokens
Recommended ToolMaster AI Skills GitHub Repository
Published2026-09-11
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Design an enterprise-grade Retrieval Augmented Generation (RAG) architecture. Specify chunking strategy, hybrid dense/sparse vector search, re-ranking with cross-encoders, and hallucination guardrails.
How to Run This Prompt
- 1Clone the master AI repository to your local computer.
- 2Explore the organized topic folders (RAG, Agents, Finetuning).
- 3Run the included starter code notebooks to build hands-on skills.
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