nitaiaharoni1/vector-storage
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.
Vector Storage allows web developers to build search features that understand the meaning and context of text, rather than just keywords. You provide text documents and a search query, and it returns documents semantically similar to your query. This is ideal for developers creating web applications that need smart, contextual search capabilities directly in the user's browser.
244 stars. No commits in the last 6 months. Available on npm.
Use this if you are a web developer building an application that needs to perform intelligent, meaning-based searches on text documents stored directly within the browser.
Not ideal if you need to perform semantic searches across a large, centralized database or if your application isn't primarily browser-based.
Stars
244
Forks
39
Language
TypeScript
License
MIT
Category
Last pushed
Dec 11, 2024
Commits (30d)
0
Dependencies
2
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