Worked on improving the reliability of Elasticsearch integration within Jupyter notebooks for the elastic/elasticsearch-labs repository. Addressed a critical installation issue by correcting the package name from 'langchain-elasticsearh' to 'langchain-elasticsearch', which resolved errors that previously prevented successful setup of multi-query retriever examples. Updated the relevant notebook to ensure reproducibility and a smoother developer experience, validating that the end-to-end workflow now runs as intended. Leveraged Python and data science skills to troubleshoot and test the integration, focusing on compatibility and usability for machine learning workflows. The work emphasized stability and correctness in the development environment rather than new feature delivery.