Chatbots are useful tools for businesses, enhancing efficiency and supporting employees by providing informed responses. However, high-performing models can be expensive to query at scale. A cost-saving strategy, semantic caching, reuses responses for similar questions, reducing redundant computations. Databricks offers an optimal platform for implementing this approach, providing necessary components like Vector Search and MLflow. While semantic caching can reduce costs and latency, slight declines in response quality must be weighed against these benefits. Databricks Mosaic AI efficiently supports these implementations with robust governance and model evaluation tools.
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Scaling LLM-Based Chatbots Can Be ExpensiveReusing Responses Could Avoid Unnecessary CostBuilding a Chatbot with Semantic Caching on DatabricksWhy Databricks?Sort: