Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.
What is the nitaiaharoni1/vector-storage GitHub project? Description: "Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.". Written in TypeScript. Explain what it does, its main use cases, key features, and who would benefit from using it.
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