feat(pipeline): Add foundational ZenML-based pipeline stack with Local MongoDB Atlas integration and related updates #1
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…l MongoDB Atlas integration and related updates This commit introduces a modular stack for building RAG pipelines. Implements ingestion and retrieval steps using ZenML. Integrates with Local MongoDB Atlas for document storage and querying. Adds Docker support for seamless development and deployment. Reorders config.py attributes alphabetically based on env-var names. Ensures comments in config.py align with .env file descriptions for better maintainability. Updates .gitignore to include relevant entries for the project. Updates pyproject.toml with required dependencies and configuration adjustments.
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Introduces a modular stack for building RAG pipelines.
Implements ingestion and retrieval steps using ZenML.
Integrates with Local MongoDB Atlas for document storage and querying.
Adds Docker support for seamless development and deployment.
Reorders config.py attributes alphabetically based on env-var names.
Ensures comments in config.py align with .env file descriptions for better maintainability.
Updates .gitignore to include relevant entries for the project.
Updates pyproject.toml with required dependencies and configuration adjustments.