Awesome ChatGPT API
Section: Tools
Entry
Appears in 9 awesome lists
@ferret_db @ossinsight @milvusio we'd love to get a ferretdb backend for gptcache. we'll add it to the todo list.and on behalf of milvus developers and the broader community, thanks for the shout-out!
Section: Tools
Section: Unity · @ferret_db @ossinsight @milvusio we'd love to get a ferretdb backend for gptcache. we'll add it to the todo list.and on behalf of milvus developers and the broader community, thanks for the shout-out!
Section: Python · GPTCache is a library for creating semantic cache to store responses from LLM queries
Section: Infra / SDKs / Integrations · Semantic caching: Zilliz semantic cache integrates TypeSafe Jev Noul checks to evaluate cache hit freshness and time-dependent query validity.
Section: Services · A Library for Creating Semantic Cache for LLM Queries
Section: LLMOps · Creating semantic cache to store responses from LLM queries.
Section: 其他(平台、逆向工程) · 使用向量数据库技术为各种 LLM 应用提供一层语义缓存,能够缓存 LLM 响应,从而显著减少检索数据所需的时间、降低 API 调用开销、提升应用可扩展性
Section: Data Storage Optimisation · GPTCache is a library for creating semantic cache for large language model queries.
Section: Python · Semantic cache to store responses from LLM queries.
Open platform for training, serving, and evaluating large language model chatbots. Powers Chatbot Arena (lmarena.ai) serving 10M+ requests for 70+ LLMs. Includes training code for Vicuna, MT-Bench evaluation, and distributed multi-model serving with OpenAI-compatible APIs. Apache 2.0 licensed.
DemoGPT enables you to create quick demos by just using prompt. It applies ToT approach on Langchain documentation tree.
Universal memory layer for AI agents. Simple API to create RAG applications over any dataset with support for multiple vector stores, embedding models, and LLM providers. Apache 2.0 licensed.
Interact privately with your documents using the power of GPT, 100% privately, no data leaks. github
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Applications of ChatGPT using Python with third-party extensions, integrations with other tools, ports for different platforms, etc.