Working with Groq in Pixeltable

    

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Pixeltable’s Groq integration enables you to access Groq models via the Groq API.

Prerequisites

• A Groq account with an API key (https://console.groq.com/docs/quickstart)

Important Notes

• Groq usage may incur costs based on your Groq plan.
• Be mindful of sensitive data and consider security measures when integrating with external services.

First you’ll need to install required libraries and enter your OpenAI API key.

%pip install -qU pixeltable groq

import os
import getpass
if 'GROQ_API_KEY' not in os.environ:
    os.environ['GROQ_API_KEY'] = getpass.getpass('Enter your Groq API key:')

Now let’s create a Pixeltable directory to hold the tables for our demo.

import pixeltable as pxt

# Remove the 'groq_demo' directory and its contents, if it exists
pxt.drop_dir('groq_demo', force=True)
pxt.create_dir('groq_demo')

Connected to Pixeltable database at: postgresql+psycopg://postgres:@/pixeltable?host=/Users/asiegel/.pixeltable/pgdata
Created directory ‘groq_demo’.
<pixeltable.catalog.dir.Dir at 0x30bb80b20>

Chat Completions

Create a Table: In Pixeltable, create a table with columns to represent your input data and the columns where you want to store the results from Groq.

from pixeltable.functions import groq

# Create a table in Pixeltable and add a computed column that calls OpenAI

t = pxt.create_table('groq_demo.chat', {'input': pxt.String})

messages = [{'role': 'user', 'content': t.input}]
t.add_computed_column(output=groq.chat_completions(
    messages=messages,
    model='llama-3.1-8b-instant',
    model_kwargs={
        # Optional dict with parameters for the Groq API
        'max_tokens': 300,
        'top_p': 0.9,
        'temperature': 0.7
    }
))

Created table `chat`.
Added 0 column values with 0 errors.
UpdateStatus(num_rows=0, num_computed_values=0, num_excs=0, updated_cols=[], cols_with_excs=[])

# Parse the response into a new column
t.add_computed_column(response=t.output.choices[0].message.content)

Added 0 column values with 0 errors.
UpdateStatus(num_rows=0, num_computed_values=0, num_excs=0, updated_cols=[], cols_with_excs=[])

# Start a conversation
t.insert([{'input': 'How many islands are in the Aleutian island chain?'}])
t.select(t.input, t.response).head()

Inserting rows into `chat`: 1 rows [00:00, 76.95 rows/s]
Inserted 1 row with 0 errors.

Learn More

To learn more about advanced techniques like RAG operations in Pixeltable, check out the RAG Operations in Pixeltable tutorial.

If you have any questions, don’t hesitate to reach out.