sreekanthpogula/end-to-end-rag
RAG, or Retrieval-Augmented Generation, is a technique in AI that enhances large language models (LLMs) by integrating them with external data sources. It combines the generative power of LLMs with information retrieval, allowing the LLM to access and utilize up-to-date, relevant information from outside its training data to produce more accurate.
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Python
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GPL-3.0
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Jul 07, 2025
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