GitHub - zilliztech/GPTCache: Semantic cache for LLMs. Fully …
Semantic caching identifies and stores similar or related queries, thereby increasing cache hit probability and enhancing overall caching efficiency. GPTCache employs embedding algorithms to convert queries into embeddings and uses a vector …
GPTCache Quick Start — GPTCache - Read the Docs
Aug 8, 2023 · GPTCache is easy to use and can reduce the latency of LLM queries by 100x in just two steps: Build your cache. In particular, you’ll need to decide on an embedding function, similarity evaluation function, where to store your data, and the eviction policy. Choose your LLM.
What is GPTCache - an open-source tool for AI Apps - Zilliz
GPTCache allows users to customize the cache according to their needs, including options for embedding functions, similarity evaluation functions, storage location and eviction. In addition, GPTCache currently supports the OpenAI ChatGPT interface and the Langchain interface.
GPT Cache - GitHub
⚡ GPT Cache is a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPT Cache works as a memcache for AIGC applications, similar to how Redis works for traditional applications. Resources
GPTCache Tutorial: Enhancing Efficiency in LLM Applications
Mar 26, 2024 · GPTCache is an open-source framework for large language model (LLM) applications like ChatGPT. It stores previously generated LLM responses to similar queries. Instead of relying on the LLM, the application checks the cache for a …
Meet GPTCache: A New Framework that Brings Caching to LLM
Jun 21, 2023 · Among the new wave of LMP frameworks, GPTCache has excelled as a unique foundation for enabling caching capabilities in LLM solutions. Created by Zilliz, GPTCache is a versatile open-source tool that has been meticulously designed to enhance the efficiency and speed of GPT-based applications.
GPTCache/docs/usage.md at main · zilliztech/GPTCache - GitHub
GPTCache is easy to use and can reduce the latency of LLM queries by 100x in just two steps: Build your cache. In particular, you'll need to decide on an embedding function, similarity evaluation function, where to store your data, and the eviction policy. Choose your LLM.
Feature — GPTCache - Read the Docs
Aug 8, 2023 · Whether to completely skip the current cache, that is, do not search the cache or save the Chat GPT results, see: Cache#cache_enable_func. In the cache initialization phase, no cache search is performed, but save the result returned by the chat gpt to cache, see: cache_skip=True in create request.
GPTCache is an open-source semantic cache designed to improve the eficiency and speed of GPT-based applications by storing and retrieving the responses generated by language models. Un-like traditional cache systems such as Redis, GPT-Cache employs semantic caching, which stores and retrieves data through embeddings.
GPT Semantic Cache: Reducing LLM Costs and Latency via …
4 days ago · Large Language Models (LLMs), such as GPT (Radford et al., 2019), have significantly advanced artificial intelligence by enabling sophisticated natural language understanding and generation. However, the high computational and financial costs associated with frequent API calls to these models present a substantial bottleneck, especially for applications like customer service chatbots that ...
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