Here is a draft "Concepts" table explaining key terms in LeapTable:
Term | Definition |
Workflow | A sequence of connected building blocks that pass data from one to the next to automate a process. |
Building Blocks | Reusable AI modules and other processing logic that can be added to workflows. |
AI Agents | Special building blocks powered by AI algorithms like NLP, computer vision, etc. |
Tools | Built-in capabilities like web scraping, PDF conversion, querying, etc. Encapsulated as building blocks. |
Templates | Pre-built workflows for common use cases that can be customized. |
Snippets | Code sections that can be inserted into Python building blocks for custom logic. |
Data Sources | Connectors for ingesting data from sources like databases, APIs, cloud storage. |
Embeddings | Generated AI representations of input data used for powering workflows. |
Integration | Ways to connect LeapTable workflows to external apps via API, Zapier, etc. |
Organization | Folders and trees for managing, grouping, and sharing collections of workflows. |
Permissions | Settings controlling user access to workflows and data sources within the workspace. |
APIs | Automatically generated endpoints enabling workflow reuse and scaling. |
Scheduling | Ability to run workflows on recurring schedules and intervals. |
Notifications | Messages informing users of workflow execution results and other events. |
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