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Copy file name to clipboardExpand all lines: docs/user_guide/llmcache_03.ipynb
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"# Semantic Caching for LLMs\n",
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"RedisVL provides an ``SemanticCache`` interface utilize Redis' built-in caching capabilities AND vector search in order to store responses from previously-answered questions. This reduces the number of requests and tokens sent to the Large Language Models (LLM) service, decreasing costs and enhancing application throughput (by reducing the time taken to generate responses).\n",
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"RedisVL provides a ``SemanticCache`` interface to utilize Redis' built-in caching capabilities AND vector search in order to store responses from previously-answered questions. This reduces the number of requests and tokens sent to the Large Language Models (LLM) service, decreasing costs and enhancing application throughput (by reducing the time taken to generate responses).\n",
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"This notebook will go over how to use Redis as a Semantic Cache for your applications"
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