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RAG Explained in 40 seconds pt: 1#AI #RAG #Programming #MachineLearning #TechShorts #semanticsearch
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331 views3likes37TheCompilerChronicleOriginal Release: 2026-05-28

RAG (Retrieval-Augmented Generation) is a technique that solves AI hallucination by enabling AI models to search external information before generating answers. The process involves chunking large documents into smaller searchable pieces with overlap to preserve context, converting text meaning into mathematical vectors through embeddings, and storing these vectors in vector databases. This allows AI to perform semantic search by meaning rather than just keywords, ensuring responses are grounded in actual retrieved information rather than fabricated knowledge.

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