Fix broken links after reorg in cratedb-examples

Author: amotl

docs/_include/links.md

@@ -29,13 +29,13 @@
 [JOIN]: inv:crate-reference#sql_joins
 [JSON Database]: https://cratedb.com/solutions/json-database
 [kNN]: https://en.wikipedia.org/wiki/K-nearest_neighbor_algorithm
-[LangChain and CrateDB: Code Examples]: https://github.com/crate/cratedb-examples/tree/main/topic/machine-learning/llm-langchain
-[langchain-similarity-binder]: https://mybinder.org/v2/gh/crate/cratedb-examples/main?labpath=topic%2Fmachine-learning%2Fllm-langchain%2Fvector_search.ipynb
-[langchain-similarity-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/llm-langchain/vector_search.ipynb
-[langchain-similarity-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/llm-langchain/vector_search.ipynb
-[langchain-rag-sql-binder]: https://mybinder.org/v2/gh/crate/cratedb-examples/main?labpath=topic%2Fmachine-learning%2Fllm-langchain%2Fcratedb-vectorstore-rag-openai-sql.ipynb
-[langchain-rag-sql-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/llm-langchain/cratedb-vectorstore-rag-openai-sql.ipynb
-[langchain-rag-sql-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/llm-langchain/cratedb-vectorstore-rag-openai-sql.ipynb
+[LangChain and CrateDB: Code Examples]: https://github.com/crate/cratedb-examples/tree/main/topic/machine-learning/langchain
+[langchain-similarity-binder]: https://mybinder.org/v2/gh/crate/cratedb-examples/main?labpath=topic%2Fmachine-learning%2Flangchain%2Fvector_search.ipynb
+[langchain-similarity-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/langchain/vector_search.ipynb
+[langchain-similarity-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/langchain/vector_search.ipynb
+[langchain-rag-sql-binder]: https://mybinder.org/v2/gh/crate/cratedb-examples/main?labpath=topic%2Fmachine-learning%2Flangchain%2Fcratedb-vectorstore-rag-openai-sql.ipynb
+[langchain-rag-sql-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/langchain/cratedb-vectorstore-rag-openai-sql.ipynb
+[langchain-rag-sql-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/langchain/cratedb-vectorstore-rag-openai-sql.ipynb
 [MongoDB CDC Relay]: https://cratedb-toolkit.readthedocs.io/io/mongodb/cdc.html
 [MongoDB Change Streams]: https://www.mongodb.com/docs/manual/changeStreams/
 [MongoDB Table Loader]: https://cratedb-toolkit.readthedocs.io/io/mongodb/loader.html

docs/domain/ml/index.md

@@ -270,11 +270,11 @@ tensorflow
 ```
 
 
-[AutoML with PyCaret and CrateDB]: https://github.com/crate/cratedb-examples/tree/main/topic/machine-learning/automl
-[automl-classify-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/automl/automl_classification_with_pycaret.ipynb
-[automl-classify-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/automl/automl_classification_with_pycaret.ipynb
-[automl-forecasting-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/automl/automl_timeseries_forecasting_with_pycaret.ipynb
-[automl-forecasting-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/automl/automl_timeseries_forecasting_with_pycaret.ipynb
+[AutoML with PyCaret and CrateDB]: https://github.com/crate/cratedb-examples/tree/main/topic/machine-learning/pycaret
+[automl-classify-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/pycaret/automl_classification_with_pycaret.py
+[automl-classify-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/pycaret/automl_classification_with_pycaret.ipynb
+[automl-forecasting-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/pycaret/automl_timeseries_forecasting_with_pycaret.ipynb
+[automl-forecasting-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/pycaret/automl_timeseries_forecasting_with_pycaret.ipynb
 [End-to-End RAG with CrateDB and LangChain]: https://speakerdeck.com/cratedb/how-to-use-private-data-in-generative-ai-end-to-end-solution-for-rag-with-cratedb-and-langchain
 [How to set up LangChain with CrateDB]: https://community.cratedb.com/t/how-to-set-up-langchain-with-cratedb/1576
 [How to Use Private Data in Generative AI]: https://youtu.be/icquKckM4o0?feature=shared
@@ -283,12 +283,12 @@ tensorflow
 [Machine Learning and CrateDB: Getting Started With Jupyter]: https://cratedb.com/blog/machine-learning-cratedb-jupyter
 [Machine Learning and CrateDB: Experiment Design & Linear Regression]: https://cratedb.com/blog/machine-learning-and-cratedb-part-three-experiment-design-and-linear-regression
 [MLflow]: https://mlflow.org/
-[MLflow and CrateDB]: https://github.com/crate/cratedb-examples/tree/main/topic/machine-learning/mlops-mlflow
+[MLflow and CrateDB]: https://github.com/crate/cratedb-examples/tree/main/topic/machine-learning/mlflow
 [MLOps]: https://en.wikipedia.org/wiki/MLOps
 [pandas]: https://pandas.pydata.org/
 [PyCaret]: https://www.pycaret.org
 [scikit-learn]: https://scikit-learn.org/
 [TensorFlow]: https://www.tensorflow.org/
 [Time Series Modeling using Machine Learning]: https://cratedb.com/blog/introduction-to-time-series-modeling-with-cratedb-machine-learning-time-series-data
-[tracking-merlion-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/mlops-mlflow/tracking_merlion.ipynb
-[tracking-merlion-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/mlops-mlflow/tracking_merlion.ipynb
+[tracking-merlion-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/mlflow/tracking_merlion.ipynb
+[tracking-merlion-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/mlflow/tracking_merlion.ipynb

docs/domain/timeseries/advanced.md

@@ -268,12 +268,12 @@ mostly your first encounter with the data.
 [Decomposition of time series]: https://en.wikipedia.org/wiki/Decomposition_of_time_series
 [Exploratory data analysis (EDA)]: https://en.wikipedia.org/wiki/Exploratory_data_analysis
 [forecasting]: https://en.wikipedia.org/wiki/Forecasting
-[forecasting-merlion-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/mlops-mlflow/tracking_merlion.ipynb
-[forecasting-merlion-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/mlops-mlflow/tracking_merlion.ipynb
-[forecasting-pycaret-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/automl/automl_timeseries_forecasting_with_pycaret.ipynb
-[forecasting-pycaret-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/automl/automl_timeseries_forecasting_with_pycaret.ipynb
+[forecasting-merlion-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/mlflow/tracking_merlion.ipynb
+[forecasting-merlion-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/mlflow/tracking_merlion.ipynb
+[forecasting-pycaret-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/pycaret/automl_timeseries_forecasting_with_pycaret.ipynb
+[forecasting-pycaret-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/pycaret/automl_timeseries_forecasting_with_pycaret.ipynb
 [MLflow]: https://mlflow.org/
-[MLflow and CrateDB]: https://github.com/crate/cratedb-examples/tree/main/topic/machine-learning/mlops-mlflow
+[MLflow and CrateDB]: https://github.com/crate/cratedb-examples/tree/main/topic/machine-learning/mlflow
 [PyCaret]: https://www.pycaret.org
 [Time series]: https://en.wikipedia.org/wiki/Time_series
 [timeseries-decomposition-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/timeseries/time-series-decomposition.ipynb

docs/integrate/langchain/index.md

@@ -216,9 +216,9 @@ solution.
 [LangChain: Retrieval augmented generation]: https://python.langchain.com/docs/tutorials/sql_qa/
 [LangChain adapter for CrateDB]: https://pypi.org/project/langchain-cratedb/
 [LangChain Conceptual Documentation]: https://python.langchain.com/docs/introduction/
-[langchain-conversational-history-binder]: https://mybinder.org/v2/gh/crate/cratedb-examples/main?labpath=topic%2Fmachine-learning%2Fllm-langchain%2Fconversational_memory.ipynb
-[langchain-conversational-history-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/llm-langchain/conversational_memory.ipynb
-[langchain-conversational-history-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/llm-langchain/conversational_memory.ipynb
-[langchain-document-loader-binder]: https://mybinder.org/v2/gh/crate/cratedb-examples/main?labpath=topic%2Fmachine-learning%2Fllm-langchain%2Fdocument_loader.ipynb
-[langchain-document-loader-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/llm-langchain/document_loader.ipynb
-[langchain-document-loader-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/llm-langchain/document_loader.ipynb
+[langchain-conversational-history-binder]: https://mybinder.org/v2/gh/crate/cratedb-examples/main?labpath=topic%2Fmachine-learning%2Flangchain%2Fconversational_memory.ipynb
+[langchain-conversational-history-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/langchain/conversational_memory.ipynb
+[langchain-conversational-history-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/langchain/conversational_memory.ipynb
+[langchain-document-loader-binder]: https://mybinder.org/v2/gh/crate/cratedb-examples/main?labpath=topic%2Fmachine-learning%2Flangchain%2Fdocument_loader.ipynb
+[langchain-document-loader-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/langchain/document_loader.ipynb
+[langchain-document-loader-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/langchain/document_loader.ipynb

docs/integrate/llamaindex/index.md

@@ -108,4 +108,4 @@ print("Answer was:", answer)
 [LlamaIndex: Using Workflows]: https://docs.llamaindex.ai/en/stable/understanding/workflows/
 [LlamaIndex and CrateDB: Code Examples]: https://github.com/crate/cratedb-examples/tree/main/topic/machine-learning/llama-index
 [LlamaIndex and CrateDB: Tutorial]: https://community.cratedb.com/t/how-to-connect-your-cratedb-data-to-llm-with-llamaindex-and-azure-openai/1612
-[llamaindex-nlquery-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/llama-index/main.py
+[llamaindex-nlquery-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/llama-index/demo_nlsql.py