CloseVector

Portable Vector Database

83 followers

Portable Vector Database

83 followers

CloseVector is a vector database with libraries for browsers & node.js. Prioritizing easy integration & scalability, its vector index runs on the user's machine for optimal performance.

Free

Launch tags:Artificial Intelligence•Database•SDK

Launch Team

Migma AIEmail marketing from Grok Bot

Promoted

CloseVector

Maker

📌

We're pleased to present the alpha release of CloseVector, a portable vector database designed with machine learning applications in mind. If you've been considering building an app that interacts with articles or PDFs, or if you're in need of a recommendation system for limited candidates, we hope CloseVector can be a potential solution for you. For more information, checkout: https://closevector-docs.getmega... By the way, CloseVector is compatible with LangChain, offering classes that extend the SaveableVectorStore from LangChain. You can easily integrate CloseVector into your LangChain apps.

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3yr ago

CloseVector

Maker

I'm also developing a tikotk like recommendation system using CloseVector. This solution will accept feeds, such as RSS, and transform them to offer a TikTok-like user experience, recommending content based on individual preferences. Simply provide us with an RSS/JSON URL, and we'll handle the rest. If this interests you, please let me know. Early users of CloseVector will also have priority access to this service.

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3yr ago

I'll take a closer look, but I'm already confident that your product is going to be a success, and I can't wait to see how it helps people.

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3yr ago

Serand

I'm looking forward to trying out CloseVector for my next project. It seems like a well-designed and powerful vector database, and I'm impressed by the team's commitment to easy integration and scalability.

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3yr ago

PreCog by UbikAI

Super DOPE! should b #1 imo, looking through docs rn we still bring our own embedding model right?

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3yr ago

CloseVector

Maker

@blaise123 Thank you; I am flattered. While we recommend using your own embeddings service, we offer a proxied OpenAI embeddings API (https://closevector-docs.getmega...) for those aiming to rapidly integrate with a vector database. This API has usage limits based on frequency and the number of tokens used per day. We have not set a specific threshold, as I believe a threshold determined by the 90th percentile would be suitable. However, we currently lack sufficient data to finalize that decision. For your convenience, both classes and a demo can be found here (https://github.com/MegaPortal/cl...).

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3yr ago

PreCog by UbikAI

@jo32 thanks dude! will check it out

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3yr ago

Congrats on your launch team 🚀

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3yr ago

CloseVector

Maker

@zulfamoh thank you

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3yr ago

Good job Congratulations keep up the good work

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3yr ago

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