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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.

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.
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Running out of API tokens halts development fast. This curated GitHub repository indexes verified developer free tiers, student grants, and sponsor endpoints totaling over 1.3 billion combined free LLM tokens.

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