Queryable
indexify
Queryable | indexify | |
---|---|---|
5 | 4 | |
2,424 | 238 | |
- | 28.6% | |
7.9 | 9.9 | |
19 days ago | 5 days ago | |
Swift | Rust | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Queryable
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I accidentally built a meme search engine
You might be interested in this, https://github.com/mazzzystar/Queryable, https://queryable.app/
I run it on my iPhone.
Native app. Doesn't require a network connection (great for privacy).
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Meta's Segment Anything written with C++ / GGML
I think you would want to use something like CLIP embeddings for image search.
Really enjoyed using this app for iOS: https://github.com/mazzzystar/Queryable
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Shortcuts ?
This project is open source, so maybe someone will help implement it in the future. :)
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[P] I open sourced Queryable - a CLIP-based photo search app (SwiftUI)
Many Americans distrust Chinese developers, fearing their photo album privacy would be violated and therefore are reluctant to use the product. I often receive emails from some developers asking about technical details. Now that it's free, why not make the source code available too. The link is: https://github.com/mazzzystar/Queryable.
indexify
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How I got my first Rust job by doing open-source
Around 2 weeks ago now, someone opened an issue on OasysDB to integrate it to his platform, Indexify, an open-source platform to extract and process various unstructured data from different sources for generative AI apps in real-time.
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I accidentally built a meme search engine
These hacks/side projects are amazing! I feel we will see a lot of creativity as tools to build data intensive AI applications become easier.
We built and open sourced Indexify https://github.com/tensorlakeai/indexify to make it easy to build resilient pipelines to combine data with many different models and transformations to build applications that relies on embedding or any other metadata extracted by models from Videos, Photos and any documents!
I didn’t know about SigClip, the author mentioned on the blog, need to add this to our library :) I also found it incredible that he generated the crawler with Claude! This is the type of boilerplate I hope we don’t have to write in the future
- Indexify -Scalable, realtime, continuous indexing engine–Unstructured Data to AI
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Job: Rust + Retrieval Systems at Etsy
OP I sent you a message, not sure if you have seen it! I am working on an open source project in the retrieval space - https://github.com/diptanu/indexify I would love to chat more with you guys and hear what you are doing :)
What are some alternatives?
clip-retrieval - Easily compute clip embeddings and build a clip retrieval system with them
floneum - A toolkit for controllable, private AI on consumer hardware in rust
natural-language-image-search - Search photos on Unsplash using natural language
text-embeddings-inference - A blazing fast inference solution for text embeddings models
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
searchGPT - Grounded search engine (i.e. with source reference) based on LLM / ChatGPT / OpenAI API. It supports web search, file content search etc.
natural-language-youtube-search - Search inside YouTube videos using natural language
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Awesome-CLIP - Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
smartgpt - A program that provides LLMs with the ability to complete complex tasks using plugins.
MoTIS - [NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)
hash - 🚀 The open-source, self-building database. From @hashintel