Working with Groq in Pixeltable
Pixeltable's Groq integration enables you to access Groq models via the Groq API.
Use Google Gemini from Pixeltable with a Google AI Studio API key or Vertex AI: generate content, images with Nano Banana and Imagen, and video with Veo.
Providers · Notebook · Updated
Colab runs it in your browser. If it calls a model provider, it asks for that provider's API key in a cell.
pip install pixeltable google-genai
GEMINI_API_KEYGOOGLE_API_KEYpxt.create_table()add_computed_column()insert()from google.genai.types import GenerateContentConfigDict# Create a table in Pixeltable and pick a model hosted on Google AI Studio with some parameterst = pxt.create_table('gemini_demo/text', {'input': pxt.String})config = GenerateContentConfigDict(max_output_tokens=500, temperature=1.0, top_p=0.95, top_k=40)t.add_computed_column(output=pxtf.gemini.generate_content(t.input, model='gemini-2.5-flash', config=config))
One cell of the notebook, copied as it is. Open it in Colab for the rest.
Pixeltable's Groq integration enables you to access Groq models via the Groq API.
Pixeltable provides seamless integration with Hugging Face datasets and models.
Pixeltable's Jina AI integration enables you to access state-of-the-art embedding and reranker models via the Jina AI API.
This tutorial demonstrates how to use Pixeltable's built-in llama.cpp integration to run local LLMs efficiently.