This documentation page is also available as an interactive notebook. You can launch the notebook in
Kaggle or Colab, or download it for use with an IDE or local Jupyter installation, by clicking one of the
above links.
Pixeltable’s Bedrock integration enables you to access AWS Bedrock
foundation models directly from your tables.
Prerequisites
- Activate Bedrock in your AWS account.
- Request access to your desired models (e.g. Claude Sonnet 3.7, Amazon
Nova Pro).
- Obtain a Bedrock API Key from the AWS console (under Bedrock >
API keys), or configure standard AWS IAM credentials.
Important notes
- Bedrock usage may incur costs based on your Bedrock plan.
- Be mindful of sensitive data and consider security measures when
integrating with external services.
First you’ll need to install required libraries and configure your
Bedrock credentials.
Now let’s create a Pixeltable directory to hold the tables for our demo.
Created directory ‘bedrock_demo’.
<pixeltable.catalog.dir.Dir at 0x1512adb10>
Messages
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
Bedrock.
Created table ‘chat’.
Added 0 column values with 0 errors in 0.01 s
No rows affected.
Added 0 column values with 0 errors in 0.01 s
No rows affected.
Inserted 1 row with 0 errors in 2.75 s (0.36 rows/s)
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.