embedchain
ripgrep
embedchain | ripgrep | |
---|---|---|
6 | 348 | |
8,541 | 45,156 | |
2.3% | - | |
9.8 | 9.3 | |
7 days ago | 7 days ago | |
Python | Rust | |
Apache License 2.0 | The Unlicense |
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.
embedchain
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Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?
You can use embedchain[1] to connect various data sources and then get a RAG application running on your local and production very easily. Embedchain is an open source RAG framework and It follows a conventional but configurable approach.
The conventional approach is suitable for software engineer where they may not be less familiar with AI. The configurable approach is suitable for ML engineer where they have sophisticated uses and would want to configure chunking, indexing and retrieval strategies.
[1]: https://github.com/embedchain/embedchain
- Embedchain
- Framework to easily create LLM powered bots over any dataset
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[D] Hardest thing about building with LLMs?
Langchain is a big wrapper in itself and people can't be bothered to even use that to write 10 lines of code. Look at the traction this project is getting https://github.com/embedchain/embedchain, at it's heart it's just using few modules from langchain. The whole thing, chunking+embedding+retrieval+promoting can be done in 100 lines without langchain and embedchain.
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AI — weekly megathread!
Embedchain: a framework to easily create LLM powered bots over any dataset [Link].
- EmbedChain: Framework to easily create LLM powered bots over any dataset.
ripgrep
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Ask HN: What software sparks joy when using?
ripgrep - https://github.com/BurntSushi/ripgrep
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Code Search Is Hard
Basic code searching skills seems like something new developers are never explicitly taught, but which is an absolutely crucial skill to build early on.
I guess the knowledge progression I would recommend would look something kind this:
- Learning about Ctrl+F, which works basically everywhere.
- Transitioning to ripgrep https://github.com/BurntSushi/ripgrep - I wouldn't even call this optional, it's truly an incredible and very discoverable tool. Requires keeping a terminal open, but that's a good thing for a newbie!
- Optional, but highly recommended: Learning one of the powerhouse command line editors. Teenage me recommended Emacs; current me recommends vanilla vim, purely because some flavor of it is installed almost everywhere. This is so that you can grep around and edit in the same window.
- In the same vein, moving back from ripgrep and learning about good old fashioned grep, with a few flags rg uses by default: `grep -r` for recursive search, `grep -ri` for case insensitive recursive search, and `grep -ril` for case insensitive recursive "just show me which files this string is found in" search. Some others too, season to taste.
- Finally hitting the wall with what ripgrep can do for you and switching to an actual indexed, dedicated code search tool.
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Level Up Your Dev Workflow: Conquer Web Development with a Blazing Fast Neovim Setup (Part 1)
live grep: ripgrep
- Ripgrep
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Modern Java/JVM Build Practices
The world has moved on though to opinionated tools, and Rust isn't even the furthest in that direction (That would be Go). The equivalent of those two lines in Cargo.toml would be this example of a basic configuration from the jacoco-maven-plugin: https://www.jacoco.org/jacoco/trunk/doc/examples/build/pom.x... - That's 40 lines in the section to do the "defaults".
Yes, you could add a load of config for files to include/exclude from coverage and so on, but the idea that that's a norm is way more common in Java projects than other languages. Like here's some example Cargo.toml files from complicated Rust projects:
Servo: https://github.com/servo/servo/blob/main/Cargo.toml
rust-gdext: https://github.com/godot-rust/gdext/blob/master/godot-core/C...
ripgrep: https://github.com/BurntSushi/ripgrep/blob/master/Cargo.toml
socketio: https://github.com/1c3t3a/rust-socketio/blob/main/socketio/C...
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Ugrep – a more powerful, ultra fast, user-friendly, compatible grep
I'm not clear on why you're seeing the results you are. It could be because your haystack is so small that you're mostly just measuring noise. ripgrep 14 did introduce some optimizations in workloads like this by reducing match overhead, but I don't think it's anything huge in this case. (And I just tried ripgrep 13 on the same commands above and the timings are similar if a tiny bit slower.)
[1]: https://github.com/radare/ired
[2]: https://github.com/BurntSushi/ripgrep/discussions/2597
- Tell HN: My Favorite Tools
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Potencializando Sua Experiência no Linux: Conheça as Ferramentas em Rust para um Desenvolvimento Eficiente
Explore o Ripgrep no repositório oficial: https://github.com/BurntSushi/ripgrep
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Scrybble is the ReMarkable highlights to Obsidian exporter I have been looking for
🔎🗃️ ripgrep or ugrep (search fast, use regex patterns or fuzzy search, pipe output to bash/zsh shell for further processing V coloring)
- RFC: Add ngram indexing support to ripgrep (2020)
What are some alternatives?
trulens - Evaluation and Tracking for LLM Experiments
telescope-live-grep-args.nvim - Live grep with args
HeimdaLLM - Constrain LLM output
fd - A simple, fast and user-friendly alternative to 'find'
WebGLM - WebGLM: An Efficient Web-enhanced Question Answering System (KDD 2023)
ugrep - ugrep 5.1: A more powerful, ultra fast, user-friendly, compatible grep. Includes a TUI, Google-like Boolean search with AND/OR/NOT, fuzzy search, hexdumps, searches (nested) archives (zip, 7z, tar, pax, cpio), compressed files (gz, Z, bz2, lzma, xz, lz4, zstd, brotli), pdfs, docs, and more
openchat - OpenChat: Advancing Open-source Language Models with Imperfect Data
the_silver_searcher - A code-searching tool similar to ack, but faster.
gpt-migrate - Easily migrate your codebase from one framework or language to another.
fzf - :cherry_blossom: A command-line fuzzy finder
searchGPT - Grounded search engine (i.e. with source reference) based on LLM / ChatGPT / OpenAI API. It supports web search, file content search etc.
alacritty - A cross-platform, OpenGL terminal emulator.