weaviate/recipes
Nov 2024 – Dec 2024
2 Months active
Languages Used
Jupyter NotebookPythonMarkdown
Technical Skills
Data EngineeringData ScienceDocument ProcessingGPU ComputingJupyter NotebooksMachine Learning
m-newhauser
PROFILE
M-newhauser
Worked on the weaviate/recipes repository to deliver end-to-end solutions for AI-enabled document workflows and vector search. Developed a Jupyter notebook demonstrating Retrieval Augmented Generation over PDFs, using Python and Docling for parsing and Weaviate for vector storage and retrieval, with clear documentation and environment setup guidance. Added a ModernBERT embeddings recipe, integrating data loading, embedding generation, indexing, and querying within Weaviate. Addressed onboarding friction by fixing Colab notebook links and enhancing documentation clarity. The work enabled rapid experimentation with RAG and vector search, providing reproducible pipelines and structured workflows for teams working with machine learning and natural language processing.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
2
Lines of code
1,991
Activity Months2
Your Network
25 peopleWork History
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for weaviate/recipes: Delivered an end-to-end ModernBERT embeddings with Weaviate integration recipe, including data loading, embedding generation, indexing into Weaviate, and sample queries. Also fixed Colab link path to ensure Colab notebooks are accessible for the ModernBERT embeddings recipe. Commits included: ab768bbfe383050c3fa21685cfef1e4ffdaae84d, 4356b7d6ef3f133e2a8136865e890b47ba4ba89b, and 274503e53a48a6ff08dc92237322f992d6ce6d97. Impact: lowers onboarding friction, enables rapid experimentation with vector search, and improves documentation clarity and discoverability. Technologies/skills demonstrated: Python, Colab workflows, ModernBERT embeddings, Weaviate vector search, data loading and indexing, documentation practices.
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for weaviate/recipes: Delivered an end-to-end ModernBERT embeddings with Weaviate integration recipe, including data loading, embedding generation, indexing into Weaviate, and sample queries. Also fixed Colab link path to ensure Colab notebooks are accessible for the ModernBERT embeddings recipe. Commits included: ab768bbfe383050c3fa21685cfef1e4ffdaae84d, 4356b7d6ef3f133e2a8136865e890b47ba4ba89b, and 274503e53a48a6ff08dc92237322f992d6ce6d97. Impact: lowers onboarding friction, enables rapid experimentation with vector search, and improves documentation clarity and discoverability. Technologies/skills demonstrated: Python, Colab workflows, ModernBERT embeddings, Weaviate vector search, data loading and indexing, documentation practices.
December 2024
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for weaviate/recipes repository focusing on feature delivery and documentation improvements that enable rapid experimentation with RAG over PDFs. No major bugs fixed this period; emphasis was on end-to-end demonstration and environment readiness that unlocks business value through faster AI-enabled document workflows.
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for weaviate/recipes repository focusing on feature delivery and documentation improvements that enable rapid experimentation with RAG over PDFs. No major bugs fixed this period; emphasis was on end-to-end demonstration and environment readiness that unlocks business value through faster AI-enabled document workflows.
Activity
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Quality Metrics
Correctness92.0%
Maintainability92.0%
Architecture92.0%
Performance84.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPython
Technical Skills
Data EngineeringData ScienceDocument ProcessingDocumentationGPU ComputingHugging Face DatasetsJupyter NotebooksMachine LearningNatural Language ProcessingPythonRAG (Retrieval Augmented Generation)Sentence TransformersVector DatabasesWeaviate
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