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correct grammatical mistake

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zaineb-damak authored and GitHub committed 2023-04-17 10:03:38 -07:00
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apps/www/_blog/2023-02-03-openai-embeddings-postgres-vector.mdx
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@@ -69,7 +69,7 @@ Why is this useful? Once we have generated embeddings on multiple texts, it is t
## Embeddings in practice
At a small scale, you could store your embeddings in a CSV file, load them into Python, and use a library like `numPy` to calculated similarity between them using something like cosine distance or dot product. OpenAI has a cookbook [example](https://github.com/openai/openai-cookbook/blob/main/examples/Semantic_text_search_using_embeddings.ipynb) that does just that. Unfortunately this likely won't scale well:
At a small scale, you could store your embeddings in a CSV file, load them into Python, and use a library like `numPy` to calculate similarity between them using something like cosine distance or dot product. OpenAI has a cookbook [example](https://github.com/openai/openai-cookbook/blob/main/examples/Semantic_text_search_using_embeddings.ipynb) that does just that. Unfortunately this likely won't scale well:
- What if I need to store and search over a large number of documents and embeddings (more than can fit in memory)?
- What if I want to create/update/delete embeddings dynamically?