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Add EmbedGuard to Orchestration/RAG #441

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### RAG

* **[EmbedGuard](https://github.com/neerazz/embedguard)**: Cross-layer detection and provenance attestation for adversarial embedding attacks in RAG systems; published in IJCESEN 2026 (DOI 10.22399/ijcesen.4869). ![Stars](https://img.shields.io/github/stars/neerazz/embedguard.svg?style=flat&color=green) ![Contributors](https://img.shields.io/github/contributors/neerazz/embedguard?color=green) ![LastCommit](https://img.shields.io/github/last-commit/neerazz/embedguard?color=green)
* **[GraphRAG](https://github.com/microsoft/graphrag)**: A modular graph-based Retrieval-Augmented Generation (RAG) system. ![Stars](https://img.shields.io/github/stars/microsoft/graphrag.svg?style=flat&color=green) ![Contributors](https://img.shields.io/github/contributors/microsoft/graphrag?color=green) ![LastCommit](https://img.shields.io/github/last-commit/microsoft/graphrag?color=green)
* **[LightRAG](https://github.com/HKUDS/LightRAG)**: "LightRAG: Simple and Fast Retrieval-Augmented Generation" ![Stars](https://img.shields.io/github/stars/HKUDS/LightRAG.svg?style=flat&color=green) ![Contributors](https://img.shields.io/github/contributors/HKUDS/LightRAG?color=green) ![LastCommit](https://img.shields.io/github/last-commit/HKUDS/LightRAG?color=green)
* **[quivr](https://github.com/QuivrHQ/quivr)**: Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want. ![Stars](https://img.shields.io/github/stars/QuivrHQ/quivr.svg?style=flat&color=green) ![Contributors](https://img.shields.io/github/contributors/QuivrHQ/quivr?color=green) ![LastCommit](https://img.shields.io/github/last-commit/QuivrHQ/quivr?color=green)
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