Retrieval-Augmented Generation (RAG) has become a cornerstone technique for grounding language models in external knowledge. Traditional RAG pipelines rely on vector search to pull relevant text chunks and then feed those chunks to an LLM to generate answers. GraphRAG takes this a step further by extracting entities and relationships, building a...
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Site title: SingleStore | The Performance You Need for Enterprise AI