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Cognee Turbopuffer Adapter

Installation

If published, the package can be simply installed via pip:

pip install cognee-community-vector-adapter-turbopuffer

In case it is not published yet, you can use poetry to locally build the adapter package:

pip install poetry
poetry install # run this command in the directory containing the pyproject.toml file

Connection Setup

  1. Create an account at turbopuffer.com
  2. Get your API key from the dashboard
  3. Set the TURBOPUFFER_API_KEY environment variable
  4. Optionally set TURBOPUFFER_REGION (defaults to gcp-us-central1). See available regions.

Usage

Import and register the adapter in your code:

from cognee_community_vector_adapter_turbopuffer import register

Also, specify the dataset handler in the .env file:

VECTOR_DATASET_DATABASE_HANDLER="turbopuffer"

Example

See example in example.py file.

Metadata

Release files for cognee-community-vector-adapter-turbopuffer 0.3.0

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Built distribution (wheel)

Table of built distributions (wheels) for cognee-community-vector-adapter-turbopuffer 0.3.0
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cognee_community_vector_adapter_turbopuffer-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 343.7 kB

Release files / cognee_community_vector_adapter_turbopuffer-0.3.0.tar.gz

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