uiua
sqlite-vss
uiua | sqlite-vss | |
---|---|---|
9 | 17 | |
1,384 | 1,487 | |
4.7% | - | |
10.0 | 8.0 | |
3 days ago | 2 months ago | |
Rust | C++ | |
MIT License | MIT License |
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.
uiua
- Borrow Checking, RC, GC, and the Eleven () Other Memory Safety Approaches
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Array Languages vs. the Curse of the Spreadsheet
This is what I love in Uiua[1]. That operators can be written as english words instead of unicode symbols. Makes it quite similar looking to functuinal point free code.
[1]: https://www.uiua.org/
- KamilaLisp – A functional, flexible and concise Lisp
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k on pdp11
you may also enjoy uiua (https://www.uiua.org/) which uses these alien glyphs but is even more alien because it's a concatenative language (stack oriented), like forth or postscript, but to make it even more alien it's written right to left. For example 1+2 is written "+ 1 2" (in forth it would be "1 2 +")
The language and the site are brilliant and I think worth 30m of your time skimming through and trying out the examples in the online editor / tutorial.
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-❄️- 2023 Day 11 Solutions -❄️-
From https://www.uiua.org/
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Attempting each AOC in a language starting with each letter of the alphabet
If you're fine with tacit array-oriented (ie APL-like): Uiua.
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Vector database is not a separate database category
As a lover of array languages, I remember being excited to read a futurist article on vector processors and programming languages. It was written right before Wes McKinney worked on Pandas (the J programming language influenced him), and I thought J/APL or another array language was going to explode. J has Jd, in which J is fully integrated. This did not come to pass (yet). No matter, I still enjoy array languages anyway. There's a new array language, uiua[1], that is a mix of array and stack concepts with a good standard library including audio and graphics.
[1] https://www.uiua.org/
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Uiua: A minimal stack-based, array-based language
Yeah
> The main language that inspired Uiua is BQN. While I had heard about APL before, BQN was my first real exposure to the power of the array paradigm. I think the language is an astounding feat of engineering. Marshall is both a genius and a great communicator.
https://www.uiua.org/docs/design
Also, a week ago there were only two contributors to the project: 1000+ by kaikalii, and this single commit by Marshall:
https://github.com/uiua-lang/uiua/pull/1/files
sqlite-vss
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I'm writing a new vector search SQLite Extension
I guess this is an answer to the GitHub issue I opened against SQLite-vss a couple of months ago?
https://github.com/asg017/sqlite-vss/issues/124
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Embeddings are a good starting point for the AI curious app developer
Perhaps sqlite-vss? It adds vector searches to sqlite.
https://github.com/asg017/sqlite-vss
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How to Enhance Content with Semantify
Utilizing sqlite-vss to store and query vector embeddings managed by a local SQLite database, Semantify conducts fast, precise vector searches within these embeddings to find and recommend relevant content, ensuring readers are presented with articles that truly match their interests.
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SQLite vs. Chroma: A Comparative Analysis for Managing Vector Embeddings
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.
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Vector database is not a separate database category
Here is a SQLite extension that uses Faiss under the hood.
https://github.com/asg017/sqlite-vss
Not associated with the project, just love SQLite and find it very useful.
- SQLite-Vss: A SQLite Extension for Vector Search
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Introduction to Vector Search and Embeddings
Vector Databases: As your data grows, efficiently searching through millions of vectors can become a challenge. Specialized vector databases like FAISS, Annoy, or Elasticsearch's vector search capabilities can be explored to manage and search through large-scale vector data. Your sentence is grammatically correct. In addition, databases like SQLite and PostgreSQL have extensions, such as sqlite-vss and pgvector, that can be used to store and query vector embeddings, respectively.
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The Problem with LangChain
I had a go at one of those a few months ago: https://datasette.io/plugins/datasette-faiss
Alex Garcia built a better one here as a SQLite Rust extension: https://github.com/asg017/sqlite-vss
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Every request, every microsecond: scalable machine learning at Cloudflare
Since the problem domain is that of anomaly detection from constructed request feature embeddings, I wonder if an ANN-search methodology using an embedded database (such as https://github.com/asg017/sqlite-vss or similar) was explored.
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Disrupting the AI Scene with Open Source and Open Innovation
As I searched for "sqlite vector plugin" I didn't find any results, before a couple of weeks ago. Two weeks ago I found Alex' SQLite VSS plugin for SQLite. The library was an amazing piece of engineering from an "idea perspective". However, as I started playing around with it, I realised it was ipso facto like "Titanic". Beautiful and amazing, but destined to leak water and sink to the bottom of the ocean because of what we software engineers refers to as "memory leaks".
What are some alternatives?
bqnpad - Online REPL for BQN
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
BQN - An APL-like programming language. Self-hosted!
chroma - the AI-native open-source embedding database
related_post_gen - Data Processing benchmark featuring Rust, Go, Swift, Zig, Julia etc.
pgvector-go - pgvector support for Go
edina - Edina - A simple stack-oriented compiled programming language.
milvus-lite - A lightweight version of Milvus
cognate - A human readable quasi-concatenative programming language
typesense-instantsearch-semantic-search-demo - A demo that shows how to build a semantic search experience with Typesense's vector search feature and Instantsearch.js
kotlingrad - 🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows