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Merge pull request #100 from singlestore-labs/fs/add-author-to-notebook
Add author information
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.pre-commit-config.yaml

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language: system
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files: \.ipynb$
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exclude: notebooks/notebook-style-guide/notebook.ipynb
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- id: toml-check
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name: toml-check
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entry: resources/toml-check.py
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- id: nb-meta-check
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name: nb-meta-check
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entry: resources/nb-meta-check.py
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language: system
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files: \.toml$
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exclude: "lessons/.*|^meta.toml"
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files: notebooks/.*/meta\.toml
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- id: lesson-check
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name: lesson-check
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entry: resources/lesson-check.py
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language: system
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files: lessons/.*\.toml
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- id: author-check
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name: author-check
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entry: resources/author-check.py
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language: system
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files: authors/.*\.toml

authors/singlestore.toml

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name="SingleStore"
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title="Engineering Team"
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image="singlestore"
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external=false
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notebooks/atlas-and-kai/meta.toml

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[meta]
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authors=["singlestore"]
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title="Mongo Atlas & SingleStore Kai"
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description="""\
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Run your MongoDB queries on SingleStore Kai with no code change. \

notebooks/backup-database-s3/meta.toml

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[meta]
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authors=["singlestore"]
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title = "Backup Database to AWS S3"
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description = """\
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Performs backup either single or multiple databases to AWS S3. \

notebooks/building-a-multi-agent-ai-app-with-autogen/meta.toml

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[meta]
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authors=["singlestore"]
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title="How to Build a Multi-Agent AI App with AutoGen"
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description="""\
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Learn how to build a multi-agent group chat with RAG using Autogen and SingleStore \

notebooks/cdc-mongodb-sql-commands/meta.toml

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[meta]
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authors=["singlestore"]
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title = "Ingest data from MONGODB® to SingleStore using SQL commands"
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description = """
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Setup CDC Replication from MongoDB® to SingleStore using SQL commands. """

notebooks/confluent-cloud-integration/meta.toml

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[meta]
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authors=["singlestore"]
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title = "Ingest data from Confluent Cloud (Kafka)"
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description = """
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A step-by-step guide on seamlessly ingesting data from Confluent Cloud (Kafka) into your SingleStoreDB database using a robust pipeline. """

notebooks/evaluating-llms-with-uptrain/meta.toml

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[meta]
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authors=["singlestore"]
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title="Evaluating LLMs with Uptrain"
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description="""\
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Using Uptrain to evaluate LLMs built with SingleStore as the contextual store. This notebook uses OpenAI embedding models and Langchain as a development framework.

notebooks/getting-started-with-dataframes/meta.toml

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[meta]
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authors=["singlestore"]
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title="Getting Started with DataFrames in SingleStoreDB"
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description="""\
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Data in SingleStoreDB can be queried and modified using a

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