
1M OpenAI Embeddings -- 1536 dimensions

Created: June 2023.
Text used for Embedding: title (string) + text (string)
Embedding Model: text-embedding-ada-002


First used for the pgvector vs VectorDB (Qdrant) benchmark: https://nirantk.com/writing/pgvector-vs-qdrant/

### Future work
We are planning to take this up to 10M (and possibly 100M) vectors. Contact [@KShivendu_](https://twitter.com/KShivendu_) on Twitter or mail to hello@nirantk.com if you want to help :)

### Credits:
This dataset was generated from the first 1M entries of https://huggingface.co/datasets/BeIR/dbpedia-entity
size_categories:1M<n<10M language:en license:mit region:us
{"language": ["en"], "license": "mit", "size_categories": ["1M<n<10M"], "pretty_name": "OpenAI 1M with DBPedia Entities", "dataset_info": {"features": [{"name": "_id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "openai", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 12383152, "num_examples": 1000000}], "download_size": 12383152, "dataset_size": 1000000}}
TAGS
#size_categories-1M<n<10M #language-English #license-mit #region-us 


1M OpenAI Embeddings -- 1536 dimensions

Created: June 2023.
Text used for Embedding: title (string) + text (string)
Embedding Model: text-embedding-ada-002


First used for the pgvector vs VectorDB (Qdrant) benchmark: URL

### Future work
We are planning to take this up to 10M (and possibly 100M) vectors. Contact @KShivendu_ on Twitter or mail to hello@URL if you want to help :)

### Credits:
This dataset was generated from the first 1M entries of URL
### Future work
We are planning to take this up to 10M (and possibly 100M) vectors. Contact @KShivendu_ on Twitter or mail to hello@URL if you want to help :) ### Credits:
This dataset was generated from the first 1M entries of URL
TAGS
#size_categories-1M<n<10M #language-English #license-mit #region-us 
 ### Future work
We are planning to take this up to 10M (and possibly 100M) vectors. Contact @KShivendu_ on Twitter or mail to hello@URL if you want to help :) ### Credits:
This dataset was generated from the first 1M entries of URL
passage: TAGS
#size_categories-1M<n<10M #language-English #license-mit #region-us 
### Future work
We are planning to take this up to 10M (and possibly 100M) vectors. Contact @KShivendu_ on Twitter or mail to hello@URL if you want to help :)### Credits:
This dataset was generated from the first 1M entries of URL