add content to table

Author: khuyentran1401

README.md

@@ -34,6 +34,7 @@ This repository is a curated collection of data science articles from CodeCut, c
 | Python | Python Clean Code: 6 Best Practices to Make Your Python Functions More Readable | [🔗](https://codecut.ai/python-clean-code-6-best-practices-to-make-your-python-functions-more-readable-2/?utm_source=github&utm_medium=data_science_repo&utm_campaign=blog) | [🔗](https://github.com/codecuttech/Data-science/tree/master/python/good_functions) | [🔗](https://youtu.be/IDHD8JYBl5M) |
 | Logging and Debugging | Loguru: Simple as Print, Flexible as Logging | [🔗](https://codecut.ai/simplify-your-python-logging-with-loguru/?utm_source=github&utm_medium=data_science_repo&utm_campaign=blog) | [🔗](https://github.com/codecuttech/Data-science/tree/master/productive_tools/logging_tools) | [🔗](https://youtu.be/XY_OrUoR-HU) |
 | LLM | Enforce Structured Outputs from LLMs with PydanticAI | [🔗](https://codecut.ai/enforce-structured-outputs-from-llms-with-pydanticai/?utm_source=github&utm_medium=data_science_repo&utm_campaign=blog) | [🔗](https://codecuttech.github.io/Data-science/llm/pydantic_ai_examples.html) | |
+| LLM | Run Private AI Workflows with LangChain and Ollama | [🔗](https://codecut.ai/private-ai-workflows-langchain-ollama/?utm_source=github&utm_medium=data_science_repo&utm_campaign=blog) | [🔗](https://codecuttech.github.io/Data-science/llm/lchain_ollama.html) | |
 | Speed-up Tools | Writing Safer PySpark Queries with Parameters | [🔗](https://codecut.ai/pyspark-sql-enhancing-reusability-with-parameterized-queries/) | [🔗](https://codecuttech.github.io/Data-science/data_science_tools/pyspark_parametrize.html) | |
 | Speed-up Tools | Narwhals: Unified DataFrame Functions for pandas, Polars, and PySpark | [🔗](https://codecut.ai/unified-dataframe-functions-pandas-polars-pyspark/) | [🔗](https://codecuttech.github.io/Data-science/data_science_tools/narwhals.html) | |
 | Speed-up Tools | Eager to Lazy DataFrames with Narwhals | [🔗](https://codecut.ai/eager-to-lazy-dataframes-with-narwhals/) | [🔗](https://codecuttech.github.io/Data-science/data_science_tools/narwhals_row_ordering.html) | |