AI Dev Skills
Augmenting LLMs with retrieved context from your own knowledge base at inference time. RAG enables using proprietary data without fine-tuning and dramatically reduces hallucination.
Eliminates hallucination on domain knowledge. Enables real-time data without retraining. RAG is now the default architecture for enterprise AI — it is the solved, production-ready approach.
Basic RAG is solved. The frontier is Advanced RAG: GraphRAG for multi-hop reasoning, hybrid search (BM25 + dense), and reranking. LlamaIndex and LangChain are the main frameworks.
Strong RAG coverage signals a mature knowledge management strategy. These teams have moved beyond basic similarity search to hybrid retrieval, reranking, and graph-based knowledge.
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