No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by finic-ai · AI Tool · ★ 1.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is rag-stack safe to install? View the security audit →
🧺 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. Examples include data from current web pages, data from SaaS apps like Confluence or Salesforce, and data from documents like sales contracts and PDFs. RAG works better than fine-tuning the model because it’s cheaper, it’s faster, and it’s more reliable since the source of information is provided with each response. RAGstac
| Stars | 1,582 |
| Forks | 137 |
| Language | TypeScript |
| Category | AI Tool |
| 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 AI Tool 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.
The top alternatives to rag-stack on Agent Skills Hub include vision-agent, axton-obsidian-visual-skills, claudekit-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: