towhee VS languagetool

As another commenter noted, Milvus is overkill and a "bit much" if you're learning/playing.

A good intro to the field with progression towards a full Milvus implementation could be starting with towhee[0] (which is also supported by Milvus).

towhee has an example to do exactly what you want with CLIP[1].

[0] - https://towhee.io/

[1] - https://github.com/towhee-io/examples/tree/main/image/text_i...

The description of this is kind of confusing but I think the easiest way to understand it is that it is a data processing pipeline of sorts. Take unstructured data and apply transformation and computation. A similar project to this is Towhee (https://github.com/towhee-io/towhee). This project tries to simplify unstructured data processing and provides pretrained models and pipelines from their hub.

Milvus also has incredible flexibility when it comes to choosing an indexing strategy, and we also have a library specifically meant to help vectorize a variety of data called Towhee (https://github.com/towhee-io/towhee).

Benchmarking the models with towhee is as simple as:

The project's homepage is https://github.com/towhee-io/towhee, and you can find more about towhee by going through the documents.

I made a tutorial for building an image search engine with python. The code example is as simple as 10 lines of code, using Towhee and Milvus To put images into the search engine:

Traditionally, I've done this through PyTorch by adding a hook, but this requires knowledge of the model itself (i.e. model arch and layer names). I found https://github.com/Hironsan/awesome-embedding-models but it didn't provide many CV-focused open-source projects. There's also https://github.com/towhee-io/towhee which is great but more targeted towards application development.

You can check the result from the tutorial.

Great tool, thanks for sharing. If you are open to suggestions, I would love to have spellcheck in it.

https://github.com/languagetool-org/languagetool

I don't know of a "global" function, but what you use depends largely on where you're doing your writing. It's possible to spellcheck markdown and html files from a terminal with aspell and to find the correct spelling of partial words with look. Some apps, like Grammarcheck can offer you close to global spellcheck. Apps like LanguageTool offer browser addons to check grammar and spelling.

Proofread for spelling, grammar, and punctuation errors (Grammarly, Hemingway Editor, LanguageTool),

Please re-read the wiki thoroughly, line-by-line, format your resume to the wiki guidelines, verify that each of your bullet points begin with a strong action verb and follow the STAR (Situation, Task, Action, and Result) or XYZ (Accomplished D as Measured by Y, by Doing Z) methods, proofread, revise, and repost your resume.

LanguageTool - I liked using Grammarly to check my writing, but it is not great for privacy considering it sends off everything you write to Grammarly servers. LanguageTool is a great open source alternative that you can run locally.

On extensions, for example, I use LanguageTool [1], which is similar to Grammarly. It could be configured with a local server, although I have a “premium” account which sends data to a 3rd party server. I trust this extension to verify my messages on HN, but I can't trust it to have access to my banking account. This is an example of a really useful extension that I'll never be able to fully trust because it has access to all websites, and it sends all that I write to another server.

In fairness, Firefox's advantage has been that Mozilla has a trustworthy manual review process for the “recommended” extensions.

[1] https://languagetool.org/