Import & vectorize data with Weaviate at scale

Originally published on the Weaviate blog

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Getting a handful of objects into a vector database is easy. Getting millions in — reliably, without silently dropping data or melting your throughput — is where most ingestion pipelines start to hurt.

This guide walks through the patterns that hold up at scale:

• Server-side batching to move objects efficiently instead of one request at a time.
• Deterministic UUIDs so retries are idempotent and you don't end up with duplicates after a failure.
• Proper error handling that surfaces what failed instead of swallowing it.
• Multimodal ingestion across text, images, audio, and video — including the blobHash type for storing media efficiently, without standing up OCR pipelines or extra infrastructure.

Read the full article on Weaviate →