🧺 RAGstack Deploy a private ChatGPT alternative hosted within your VPC. Connect it to your organization's knowledge base and use it as a corporate oracle. Supports open-source LLMs like Llama 2, Falcon, and GPT4All. Retrieval Augmented Generation (RAG) is a technique where the capabilities of a large language model (LLM) are augmented by retrieving information from other systems and inserting them into the LLM’s context window via a prompt. This gives LLMs information beyond what was provided in their training data, which is necessary for almost every enterprise use case.
| Stars | 1,582 |
| Forks | 137 |
| Language | TypeScript |
| Category | 未分类 |
| License | MIT |
| Quality Score | 58.4733764012552/100 |
| Open Issues | 27 |
| Last Updated | 2023-09-11 |
| Created | 2023-07-12 |
| Platforms | node |
| Est. Tokens | ~15k |
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rag-stack is 🤖 Deploy a private ChatGPT alternative hosted within your VPC. 🔮 Connect it to your organization's knowledge base and use it as a corporate oracle. Supports open-source LLMs like Llama 2, Falcon, an. It is categorized as a 未分类 with 1.6k GitHub stars.
rag-stack is primarily written in TypeScript.
You can find installation instructions and usage details in the rag-stack GitHub repository at github.com/finic-ai/rag-stack. The project has 1.6k stars and 137 forks, indicating an active community.
rag-stack is released under the MIT license, making it free to use and modify according to the license terms.