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Choose the text, ID and metadata fields

Embeds the title together with the body, identifies each page by its URL, keeps only title, language and crawl date as metadata, and stores the chunk text under page_content (the key LangChain reads). Free preview on the sample pages.

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Dataset to Pinecone & Qdrant Vector Export
Dataset to Pinecone & Qdrant Vector Exportoldjard/dataset-to-pinecone-qdrant
Record ID
Chunk
of
Characters
+2 fields
Text
Number
Boolean
List
Object

Input

Text fields:title+1
ID fields:url
Metadata fields:title+2
Metadata key for the text:page_content

Output fields

Record ID
Chunk
of
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 "Choose the text, ID and metadata fields". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Choose the text, ID and metadata fields" 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 text fields, ID fields, and more, to match your specific use case.

Receive the "Choose the text, ID and metadata fields" 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 "Choose the text, ID and metadata fields" task via API.

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Integrate "Choose the text, ID and metadata fields" into your workflow

Connect "Choose the text, ID and metadata fields" with 100+ integrations, or run it via API or MCP.

Webhook

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