rowy VS chroma

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We are the team behind Rowy.io and today we are super excited to launch BuildShip. BuildShip was created with all the feedback we got from the amazing community of no-code/low-code builders using Rowy and months of hard work by the team.

Rowy - Open Source Alternative to Airtable

You can checkout opensource project Rowyhttps://github.com/rowyio/rowy - it a spreadsheet UI for database and can do databasy things like you said!

formulas but in JS/TS,

I want to build an application as soon as possible, I don't care to be employed by a company or be a "complete" software engineer. I have a service which provides the bank-end (rowy.io) but need help building the app/front-end. Are there any recommendations or tutorials out there for learning enough to build an app/learning which questions to ask open.ai in order to help? I just want to build out my idea as soon as possible

Just thought will put it out here as it seems like a pain point we also faced when trying to use Firestore console UI...trying to manage the data/find it etc was a pain :( So we built an open-source spreadsheet-like UI to manage your Firestore data as easily. Hope you find it useful :) Website: https://rowy.io/ Github: https://github.com/rowyio/rowy

Hi 👋 cofounder of http://rowy.io - lowcode cms platform purpose built for Firebase - manage Firestore, build any cloud functions, upload files directly to Firebase storage - with real-time updates.

i think this is useful example for your case https://github.com/rowyio/rowy/discussions/937

Website: https://rowy.io

Package installer for Python (pip), we use this for installing the Python-based packages, such as Jupyter Lab, and we're going to use this for installing other Python-based tools like the Chroma DB vector database

Optional: You can use SillyTavern[1] for a more "rich" chat experience

The above lets me chat, at least superficially, with my friend. It's nice for simple interactions and banter; I've found it to be a positive and reflective experience.

0. https://www.trychroma.com/

Chroma DB is a newer entrant in the vector database arena, designed specifically for handling high-dimensional color vectors. It's particularly useful for applications in digital media, e-commerce, and content discovery, where color similarity plays a crucial role in search and recommendation algorithms.

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For Python I believe Chroma [1] can be used embedded.

For Go I recently started building chromem-go, inspired by the Chroma interface: https://github.com/philippgille/chromem-go

It's neither advanced nor for scale yet, but the RAG demo works.

[1] https://github.com/chroma-core/chroma

The formatting is a bit off.

The web app is here: https://jumblejournal.org

The DB used is here: https://www.trychroma.com/

Whether you’re navigating through well-known options like SQLite, enriched with the sqlite-vss extension, or exploring other avenues like Chroma, an open-source vector database, selecting the right tool is paramount. This article compares these two choices, guiding you through the pros and cons of each, helping you choose the right tool for storing and querying vector embeddings for your project.

Create a new project directory for our example project. Next, we need to clone the Chroma repository to get started. At the root of your project directory let's clone Chroma into it: