Skip to main content
Version: 0.5.4

destinations.impl.qdrant.qdrant_adapter

qdrant_adapter

def qdrant_adapter(data: Any, embed: TColumnNames = None) -> DltResource

[view_source]

Prepares data for the Qdrant destination by specifying which columns should be embedded.

Arguments:

  • data Any - The data to be transformed. It can be raw data or an instance of DltResource. If raw data, the function wraps it into a DltResource object.
  • embed TColumnNames, optional - Specifies columns to generate embeddings for. Can be a single column name as a string or a list of column names.

Returns:

  • DltResource - A resource with applied qdrant-specific hints.

Raises:

  • ValueError - If input for embed invalid or empty.

Examples:

    data = [{"name": "Anush", "description": "Integrations Hacker"}]
qdrant_adapter(data, embed="description")

[DltResource with hints applied]

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

DHelp

Ask a question

Welcome to "Codex Central", your next-gen help center, driven by OpenAI's GPT-4 model. It's more than just a forum or a FAQ hub – it's a dynamic knowledge base where coders can find AI-assisted solutions to their pressing problems. With GPT-4's powerful comprehension and predictive abilities, Codex Central provides instantaneous issue resolution, insightful debugging, and personalized guidance. Get your code running smoothly with the unparalleled support at Codex Central - coding help reimagined with AI prowess.