Lower your Large Language Model costs with Graphwise GraphDB
Ontotext
DECEMBER 6, 2024
KPIs around RAG applications like latency and relevance of results incur a high TCO (total cost of ownership) when transitioning from prototype to production. Using GPT and embeddings for similarity and retrieval by relevance doesnt always perform better in terms of latency and costs. What is the Graphwise GraphDB approach?
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