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mkdocs.yml
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site_name: openaivec - AI-Powered Data Processing for Pandas & Spark
site_url: https://microsoft.github.io/openaivec/
site_description: Transform your data analysis with OpenAI's language models. Comprehensive task domains including NLP, customer support, and future business domains. Seamlessly integrate structured AI processing, multilingual analysis, and automated workflows into pandas DataFrames and Apache Spark for scalable enterprise insights.
site_author: Hiroki Mizukami
repo_url: https://github.com/microsoft/openaivec
repo_name: microsoft/openaivec
edit_uri: edit/main/docs/
theme:
name: material
language: en
custom_dir: docs/overrides
palette:
# Palette toggle for light mode
- media: "(prefers-color-scheme: light)"
scheme: default
primary: indigo
accent: blue
toggle:
icon: material/brightness-7
name: Switch to dark mode
# Palette toggle for dark mode
- media: "(prefers-color-scheme: dark)"
scheme: slate
primary: indigo
accent: blue
toggle:
icon: material/brightness-4
name: Switch to light mode
features:
- announce.dismiss
- content.action.edit
- content.action.view
- content.code.annotate
- content.code.copy
- content.tooltips
- navigation.expand
- navigation.footer
- navigation.indexes
- navigation.sections
- navigation.tabs
- navigation.top
- navigation.tracking
- search.highlight
- search.share
- search.suggest
- toc.follow
icon:
repo: fontawesome/brands/github
edit: material/pencil
view: material/eye
nav:
- Home: index.md
- PyPI: https://pypi.org/project/openaivec/
- GitHub: https://github.com/microsoft/openaivec
- Contributor Guidelines: contributor-guide.md
- Examples:
- Getting Started: examples/pandas.ipynb
- PreparedTask Guide: examples/prepared_task.ipynb
- Intelligent Fill: examples/intelligent_fill.ipynb
- DuckDB Processing: examples/duckdb.ipynb
- Spark Processing: examples/spark.ipynb
- Async Workflows: examples/aio.ipynb
- Prompt Engineering: examples/prompt.ipynb
- Survey Transformation: examples/survey_transformation.ipynb
- Customer Analysis: examples/customer_analysis.ipynb
- FAQ Generation: examples/generate_faq.ipynb
- Receipt Parsing (Multimodal): examples/receipt_parsing.ipynb
- Token Count and Processing Time: examples/batch_size.ipynb
- Request Batching Benchmark: examples/benchmark.ipynb
- API Reference:
- Main Package: api/main.md
- pandas_ext: api/pandas_ext.md
- duckdb_ext: api/duckdb_ext.md
- spark_ext: api/spark_ext.md
- task: api/task.md
- Task Domains:
- Natural Language Processing:
- Translation: api/tasks/nlp/translation.md
- Sentiment Analysis: api/tasks/nlp/sentiment_analysis.md
- Named Entity Recognition: api/tasks/nlp/named_entity_recognition.md
- Morphological Analysis: api/tasks/nlp/morphological_analysis.md
- Dependency Parsing: api/tasks/nlp/dependency_parsing.md
- Keyword Extraction: api/tasks/nlp/keyword_extraction.md
- Customer Support:
- Intent Analysis: api/tasks/customer_support/intent_analysis.md
- Customer Sentiment: api/tasks/customer_support/customer_sentiment.md
- Urgency Analysis: api/tasks/customer_support/urgency_analysis.md
- Inquiry Classification: api/tasks/customer_support/inquiry_classification.md
- Inquiry Summary: api/tasks/customer_support/inquiry_summary.md
- Response Suggestion: api/tasks/customer_support/response_suggestion.md
extra:
tags:
- Python
- OpenAI
- Pandas
- Apache Spark
- vectorization
- embeddings
- NLP
- customer support
- task domains
- data science
- machine learning
- AI
- text processing
- sentiment analysis
- named entity recognition
- translation
- intent analysis
- urgency analysis
- inquiry classification
- response automation
- multilingual support
- batch processing
- structured outputs
- data analysis
- business automation
- scalable AI
analytics:
provider: google
property: G-ZZ7FDHLKYS
meta:
- name: google-site-verification
content: UZhByQkwHoP8ke9kNHhrVrXNM_nnHFGd6ycOKKcBRcs
social:
- icon: fontawesome/brands/github
link: https://github.com/microsoft/openaivec
- icon: fontawesome/brands/python
link: https://pypi.org/project/openaivec/
- icon: fontawesome/brands/discord
link: https://discord.gg/hXCS9J6Qek
plugins:
- search:
separator: '[\s\-,:!=\[\]()"/]+|(?!\b)(?=[A-Z][a-z])|\.(?!\d)|&[lg]t;'
- mkdocs-jupyter
- mkdocstrings:
handlers:
python:
paths:
- src
options:
docstring_style: google
show_submodules: true
show_source: true
show_root_heading: true
show_root_toc_entry: true
heading_level: 2
members_order: source
show_signature_annotations: true
separate_signature: true
show_bases: true
show_docstring_parameters: true
show_docstring_returns: true
show_docstring_examples: true
show_category_heading: true
group_by_category: true
show_if_no_docstring: false
inherited_members: false
merge_init_into_class: true
markdown_extensions:
- abbr
- admonition
- attr_list
- def_list
- footnotes
- md_in_html
- toc:
permalink: true
title: On this page
- pymdownx.arithmatex:
generic: true
- pymdownx.betterem:
smart_enable: all
- pymdownx.caret
- pymdownx.details
- pymdownx.emoji:
emoji_generator: !!python/name:material.extensions.emoji.to_svg
emoji_index: !!python/name:material.extensions.emoji.twemoji
- pymdownx.highlight:
anchor_linenums: true
line_spans: __span
pygments_lang_class: true
- pymdownx.inlinehilite
- pymdownx.keys
- pymdownx.magiclink:
repo_url_shorthand: true
user: microsoft
repo: openaivec
- pymdownx.mark
- pymdownx.smartsymbols
- pymdownx.superfences:
custom_fences:
- name: mermaid
class: mermaid
format: !!python/name:pymdownx.superfences.fence_code_format
- pymdownx.tabbed:
alternate_style: true
- pymdownx.tasklist:
custom_checkbox: true
- pymdownx.tilde