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Adding SingleStoreDB as a vector database with Python notebook #402

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May 22, 2023
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Adding SingleStoreDB as a vector database with Python notebook #402

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SingleStoreDB supports vectors and vector similarity search using dot_product (for cosine similarity) and euclidean_distance functions. These functions are used by our customers for applications including face recognition, visual product photo1 search and text-based semantic search [Aur23]. With the explosion of generative AI technology, these capabilities form a firm foundation for text-based AI chatbots.

## Examples

This folder contains examples of using SingleStoreDB and OpenAI together. We will keep adding more scenarios so stay tuned!

| Name | Description |
| --- | --- |
| [OpenAI wikipedia semantic search](./OpenAI_wikipedia semantic_search.ipynb) | Improve GPT response accuracy by storing and running semantinc search over vectors from wikipedia pages |