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Understanding that creating embeddings every time can be a resource-intensive task, we have devised a more efficient solution for you. In this section, we will regularly publish snapshots of common public datasets often used for general or educational purposes. These snapshots contain pre-computed vectors, critical for semantic search, that you can easily import into your Qdrant instance. Our objective is to streamline your process and accelerate your progress. Say goodbye to redundant operations and harness the power of Qdrant with a simple snapshot import.

Dataset Description Model Dimensionality Size Link
Arxiv.org Only titles InstructorXL 768 7.1 GB download
Only abstracts InstructorXL 768 8.4 GB download