#semantic-caching

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#retrieval-augmented-generation-rag #vector-embeddings #model-evaluation #llm-cost-reduction #generative-ai
Artificial intelligence
fromInfoQ
5 days ago

Reducing False Positives in Retrieval-Augmented Generation (RAG) Semantic Caching: A Banking Case Study

Semantic caching stores query-response vector embeddings to reuse answers, reducing LLM calls while improving response speed, consistency, and cost efficiency.
Scala
fromITProUK
7 months ago

Redis unveils new tools for developers working on AI applications

Redis introduces tools for AI developers to improve application performance.
LangCache optimizes large language model interactions, enhancing speed and accuracy.
Vector sets offer a new way to manage and scale data for AI applications.
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