vigil-llm vs RAG_Techniques
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| vigil-llm | RAG_Techniques | |
|---|---|---|
| Tagline | ⚡ Security scanner for LLM prompts ⚡ | Repository showcasing advanced techniques for Retrieval-Augmented Generation (RAG) systems. |
| Stars | 486 | 28k |
| Forks | 55 | 3.5k |
| Open issues | 16 | 16 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | Other |
| Last pushed | Jan 31, 2024 | Jul 4, 2026 |
| Categories | Evaluation & Observability | Data & Retrieval, LLM Frameworks |
vigil-llm
Vigil is a Python library and REST API designed to assess Large Language Model (LLM) inputs, detecting injections, jailbreaks, and other security threats. It includes modular scanners with the ability to extend via custom signatures and supports various detection methods including vector databases, heuristics, transformer models, canary tokens, and sentiment analysis.
Python
RAG_Techniques
This repository contains tutorials and runnable notebooks that cover a range of RAG techniques, from foundational concepts to cutting-edge methods. It aims to provide detailed insights into building more accurate and context-rich retrieval systems.
Jupyter Notebook