Knowledge - Multiplayer AI

Data sources are managed by Builders and Admins of the workspace via Connected Data, Folders and Websites. Knowledge allow the agent to retrieve and use selected data as context to answer questions, using the different methods below:

Name	When to use it	How to configure it when building an agent	What the agent will do
Search	To search across various data sources. (Most common method)	Select data from your Folders and Connected Data and describe what it is about.	Perform a semantic search across the selected data to find the most relevant content and generate a response using this context.
Include Data	To include data exhaustively. (entire documents)	Select data from your Folders and Connected Data, set a time limit if required, and describe what it is about.	Include as much data as possible - starting with the most recent - until reaching the context window limit or your set limit, and then generate a response using this context.
Query tables	To query structured data (Tables, Spreadsheets, DBs).	Select a database from your Folders or Connected Data, created from data warehouses (Snowflake/BigQuery) or CSV files, gsheets, or Notion databases.	Convert the user’s question into an SQL query, run it against the database, retrieve results, and generate a response from this content. Learn more: Table queries
Extract Data	To extract structured data from large data sources.	Select data from your Folders or Connected Data and define the desired data schema	Search the selected data and extract information following the defined schema. Learn more: Extract data

Self Improving Skills Search data sources