[Docs] Add ruff linting to .ipynb files (#645)

docs/_scripts/copy_notebooks.py

@@ -33,6 +33,7 @@ _MANUAL = {
     "tutorials": [
         "introduction.ipynb",
         "customer-support/customer-support.ipynb",
+        "tutorials/tnt-llm/tnt-llm.ipynb",
     ],
 }
 _MANUAL_INVERSE = {v: docs_dir / k for k, vs in _MANUAL.items() for v in vs}
@@ -113,6 +114,9 @@ def copy_notebooks():
                         dst_path = os.path.join(
                             overridden_dir, os.path.relpath(src_path, examples_dir)
                         )
+                        dst_path = dst_path.replace(
+                            "tutorials/tutorials", "tutorials"
+                        ).replace("how-tos/how-tos", "how-tos")
                         print(f"Overriding: {src_path} to {dst_path}")
                         break
 

docs/docs/tutorials/index.md

@@ -55,6 +55,10 @@ Learn from example implementations of graphs designed for specific scenarios and
 - [Agent-based](chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb): Evaluating chatbots via simulated user interactions
 - [Within LangSmith](chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation.ipynb): Evaluating chatbots in LangSmith over a dialog dataset
 
+#### Text Mining
+
+- [TNT-LLM](tnt-llm/tnt-llm.ipynb): learn to build rich, interpretable taxonomies of user intentand using the classification system developed by Microsoft for their Bing Copilot application.
+
 #### Competitive Programming
 
 - [Can Language Models Solve Olympiad Programming?](usaco/usaco.ipynb): Build an agent with few-shot "episodic memory" and human-in-the-loop collaboration to solve problems from the USA Computing Olympiad; adapted from the [paper of the same name](https://arxiv.org/abs/2404.10952v1) by Shi, Tang, Narasimhan, and Yao.

docs/mkdocs.yml

@@ -129,6 +129,8 @@ nav:
               - Chatbot Eval via Sim:
                   - Agent-based: tutorials/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb
                   - In LangSmith: tutorials/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation.ipynb
+          - Text Mining:
+              - TNT-LLM: tutorials/tnt-llm/tnt-llm.ipynb
           - Web Navigation: tutorials/web-navigation/web_voyager.ipynb
           - Competitive Programming: tutorials/usaco/usaco.ipynb