# Alkemi

## Home

- [Developer Platform](https://docs.alkemi.ai/readme.md): Welcome to your team’s developer platform

## Documentation

- [Overview](https://docs.alkemi.ai/documentation/readme.md)
- [Quickstart](https://docs.alkemi.ai/documentation/getting-started/quickstart.md): Get an overview of the DataLab interface and ask your first questions to the agent.
- [Connect Alkemi to Claude](https://docs.alkemi.ai/documentation/getting-started/connect-alkemi-to-claude.md): Securely querying Alkemi data from Claude is easy thanks to Alkemi's OAuth MCP features.
- [Connect Alkemi to ChatGPT](https://docs.alkemi.ai/documentation/getting-started/connect-alkemi-to-chatgpt.md): Securely querying Alkemi data from ChatGPT is easy thanks to Alkemi's OAuth MCP features.
- [Searching and Scraping the Web](https://docs.alkemi.ai/documentation/getting-started/searching-and-scraping-the-web.md): Alkemi DataLab comes with tools that enable you to easily search the web and scrape content.
- [Searching the Web](https://docs.alkemi.ai/documentation/getting-started/searching-and-scraping-the-web/searching-the-web.md): Alkemi's web search tool enables you to search for terms and pull in the results to DataLab
- [Scraping a Website](https://docs.alkemi.ai/documentation/getting-started/searching-and-scraping-the-web/scraping-a-website.md): Alkemi's web scrape tool enables you to scrape content from a URL pull in the results to DataLab
- [Researching a Company](https://docs.alkemi.ai/documentation/getting-started/searching-and-scraping-the-web/researching-a-company.md): Alkemi's company research tool enables you to research information and news about a company and pull in the results to DataLab
- [Connect your data](https://docs.alkemi.ai/documentation/getting-started/connect-your-data.md)
- [Uploading Files](https://docs.alkemi.ai/documentation/getting-started/connect-your-data/uploading-files.md)
- [Transforming a CSV](https://docs.alkemi.ai/documentation/getting-started/connect-your-data/uploading-files/transforming-a-csv.md): Transforming an uploaded CSV into a new data asset within DataLab is easy. Simply ask the AI agent to transform the data and you can create a completely new data asset tailored to your needs.
- [Exporting to CSV](https://docs.alkemi.ai/documentation/getting-started/connect-your-data/uploading-files/exporting-to-csv.md): Exporting to CSV in DataLab is simple.
- [Connecting Databricks](https://docs.alkemi.ai/documentation/getting-started/connect-your-data/connecting-databricks.md): Connect your Databricks workspace to the Alkemi platform. Once connected, you can create and manage Data Products within Alkemi using your Databricks warehouse as the data source.
- [Connecting Snowflake](https://docs.alkemi.ai/documentation/getting-started/connect-your-data/connecting-snowflake.md): Connect your Snowflake workspace to the Alkemi platform. Once connected, you can create and manage Data Products within Alkemi using your Snowflake database as the data source.
- [Connecting BigQuery](https://docs.alkemi.ai/documentation/getting-started/connect-your-data/connecting-bigquery.md): Learn how to connect your Google BigQuery Dataset to the Alkemi platform. Once connected, you can create and manage Data Products within Alkemi using your Google BigQuery Dataset as the data source.
- [Connecting Linear](https://docs.alkemi.ai/documentation/getting-started/connect-your-data/connecting-linear.md): See how to securely connect your Linear workspace to Alkemi and get insights into your issues and product status
- [Querying your data](https://docs.alkemi.ai/documentation/getting-started/querying-your-data.md)
- [Data Products](https://docs.alkemi.ai/documentation/basics/data-products.md): Data Products provide a way for you to create curated data assets from your connections with automatic AI functionality like text-to-SQL and MCP servers.
- [Creating a Data Product](https://docs.alkemi.ai/documentation/basics/data-products/creating-a-data-product.md)
- [Training your Data Product](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product.md): This guide covers how to create, manage, and optimize your training data through the Text to SQL Training interface.
- [Creating Manual Training Data](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product/creating-manual-training-data.md): Creating training examples by hand with direct control.
- [Creating Automated Training Data](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product/creating-automated-training-data.md): Create synthetic training examples automatically using the Alkemi Agent
- [Reviewing Pending Queries](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product/reviewing-pending-queries.md): How to review and approve synthetic training examples
- [Review Questionable Training Examples](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product/review-questionable-training-examples.md): How to review questionable training examples
- [Best Practices](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product/best-practices.md): Make it easy to succeed
- [Troubleshooting](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product/troubleshooting.md): Common issues and solutions
- [Organizations](https://docs.alkemi.ai/documentation/basics/organizations.md)
- [Credits](https://docs.alkemi.ai/documentation/models-and-pricing/credits.md): This page provides detailed information on credit usage for Alkemi's data and models.
- [Model Packages](https://docs.alkemi.ai/documentation/models-and-pricing/model-packages.md): This page provides detailed information on the models currently in use in Alkemi's model packages

## Changelog

- [Alkemi Changelog](https://docs.alkemi.ai/changelog/readme.md): New features, updates, and improvements to Alkemi.