feat: add tutorial notebook for chainguard

ChainGuard is an open-source package that provides a simple, reliabe way to secure Generative AI applications and agents powered by LangChain from prompt injection, jailbreaks, and other threats with Lakera Guard.

This tutorial notebook builds on top of the LangChain RAG Quickstart tutorial to illustrate how indirect prompt injection can happen and how ChainGuard can prevent indirect prompt injection in RAG applications.

.gitignore

@@ -1,6 +1,7 @@
 .vscode
 .idea/
 .venv/
+.env
 
 **/.ipynb_checkpoints
 **/.DS_Store

notebooks/en/_toctree.yml

@@ -24,6 +24,8 @@
     title: Advanced RAG on HuggingFace documentation using LangChain
   - local: rag_evaluation
     title: RAG Evaluation
+  - local: rag_prompt_injection_defense_with_chainguard
+    title: Protect your LangChain Apps with ChainGuard
   - local: prompt_tuning_peft
     title: Prompt tuning with PEFT
   - local: labelling_feedback_setfit

notebooks/en/index.md

@@ -24,6 +24,7 @@ Check out the recently added notebooks:
 - [Advanced RAG on HuggingFace documentation using LangChain](advanced_rag)
 - [Detecting Issues in a Text Dataset with Cleanlab](issues_in_text_dataset)
 - [Annotate text data using Active Learning with Cleanlab](annotate_text_data_transformers_via_active_learning)
+- [Protect your LangChain Apps with ChainGuard](protect_langchain_apps_with_chainguard)
 
 You can also check out the notebooks in the cookbook's [GitHub repo](https://github.com/huggingface/cookbook).