A Table object corresponds to a Brainbase worker.

​
Initialize

You can either initialize a Table from scratch, or using an already initialized Brainbase object, both methods are shown below.

import {Brainbase, Table} from "brainbase-ai"

// From scratch
const table = Table(api_key="YOUR_API_KEY", table_id="TABLE_ID")

// From Brainbase
const row = bb.table(table_id="TABLE_ID")

​
Read

Loads the title and features of the table from the database.

import {Brainbase, Row} from "brainbase-ai"

table.read()

​
Insert

The Table object provides an easy function to insert any file or data type natively supported by Brainbase. You can insert any of the following using the same function:

  1. Local file: Insert any supported local file by providing the local file path
  2. URL: Insert any remote file by providing the URL to the file. This also works for scraping the text content of non-file URLs.
  3. Dictionary: Insert a dictionary with the keys corresponding to the keys of the features of the Table object.
import {Brainbase, Row} from "brainbase-ai"

// Insert local file
table.insert(file_path="/sales-call-3.mp3")

// Insert URL
table.insert(url="https://openai.com/secret/how-to-build-agi.pdf")

// Insert dictionary
table.insert(data={"name": "Sam Altman", "title": "CEO", "company": "OpenAI"})

​
Add Columns

You can add new columns to the table using the add_columns function.

import {Brainbase, Row} from "brainbase-ai"

table.add_columns(columns=[
    {
        "key": "email",
        "name": "Email",
        "description": "Email of the contact",
        "type": "EMAIL" 
    }, {
        "key": "summary",
        "name": "Contact summary",
        "description": "A 50 words or less summary of the contact's experience in sales",
        "type": "LONG_TEXT" 
    }
])

​
Delete

import {Brainbase, Row} from "brainbase-ai"

row.delete()

​
Run Action

You can run a worker action on a selected row using the run function. How to create Action.

import {Brainbase, Row} from "brainbase-ai"

row.run(action)

A Table object corresponds to a Brainbase worker.

​
Initialize

You can either initialize a Table from scratch, or using an already initialized Brainbase object, both methods are shown below.

import {Brainbase, Table} from "brainbase-ai"

// From scratch
const table = Table(api_key="YOUR_API_KEY", table_id="TABLE_ID")

// From Brainbase
const row = bb.table(table_id="TABLE_ID")

​
Read

Loads the title and features of the table from the database.

import {Brainbase, Row} from "brainbase-ai"

table.read()

​
Insert

The Table object provides an easy function to insert any file or data type natively supported by Brainbase. You can insert any of the following using the same function:

  1. Local file: Insert any supported local file by providing the local file path
  2. URL: Insert any remote file by providing the URL to the file. This also works for scraping the text content of non-file URLs.
  3. Dictionary: Insert a dictionary with the keys corresponding to the keys of the features of the Table object.
import {Brainbase, Row} from "brainbase-ai"

// Insert local file
table.insert(file_path="/sales-call-3.mp3")

// Insert URL
table.insert(url="https://openai.com/secret/how-to-build-agi.pdf")

// Insert dictionary
table.insert(data={"name": "Sam Altman", "title": "CEO", "company": "OpenAI"})

​
Add Columns

You can add new columns to the table using the add_columns function.

import {Brainbase, Row} from "brainbase-ai"

table.add_columns(columns=[
    {
        "key": "email",
        "name": "Email",
        "description": "Email of the contact",
        "type": "EMAIL" 
    }, {
        "key": "summary",
        "name": "Contact summary",
        "description": "A 50 words or less summary of the contact's experience in sales",
        "type": "LONG_TEXT" 
    }
])

​
Delete

import {Brainbase, Row} from "brainbase-ai"

row.delete()

​
Run Action

You can run a worker action on a selected row using the run function. How to create Action.

import {Brainbase, Row} from "brainbase-ai"

row.run(action)