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🚀 **Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production**
Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via cosine similarity — is effecti...
🔗 https://venturebeat.com/orchestration/architectural-patterns-for-graph-enhanced-rag-moving-beyond-vector-search-in-production
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Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via cosine similarity — is effecti...
🔗 https://venturebeat.com/orchestration/architectural-patterns-for-graph-enhanced-rag-moving-beyond-vector-search-in-production
#startups #news