Qdrant + Gemini embeddings (template, preview on)

Created by

Joshua White

Actor

Dataset to Pinecone & Qdrant Vector Export

A ready input for Qdrant Cloud or a self-hosted Qdrant: the website-docs collection is created at the model size with cosine distance, and text is embedded with Google Gemini (gemini-embedding-001) in 1,500-character chunks. Add your Qdrant URL and keys and turn Preview only off.

Try for free

Dataset to Pinecone & Qdrant Vector Exportoldjard/dataset-to-pinecone-qdrant

Record ID

Chunk

Characters

+2 fields

Input

Qdrant collection:website-docs

Preview only:true

Output fields

Record ID

Chunk

Characters

Text to embed

Metadata

How it works

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The Dataset to Pinecone & Qdrant Vector Export Actor is ready to run with the inputs already set for "Qdrant + Gemini embeddings (template, preview on)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Qdrant + Gemini embeddings (template, preview on)" task

The Dataset to Pinecone & Qdrant Vector Export Actor will start running based on the input automatically. You can also change all the input fields, like qdrant collection and preview only, to match your specific use case.

Receive the "Qdrant + Gemini embeddings (template, preview on)" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as record id, chunk, of, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Qdrant + Gemini embeddings (template, preview on)" task via API.