carapace-bin
haystack
| carapace-bin | haystack | |
|---|---|---|
| 6 | 55 | |
| 703 | 13,711 | |
| 14.5% | 3.1% | |
| 9.8 | 9.9 | |
| 4 days ago | 2 days ago | |
| Go | Python | |
| 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.
carapace-bin
- FLaNK AI Weekly for 29 April 2024
- Carapace: A multi-shell completion library and binary
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Release Radar • March 2024 Edition
It's exciting when something breaks out on its own, and that's what's happened with Carapace. Originally part of a 13-piece project, it now has a major first version and it's a multi-shell completion library and binary. Carapace consists of a pflag fork, a yaml spec, a shell lexer, a completion bridge and various scrapers. Congratulations to the team on shipping your first version 🥳.
- Show HN: Inshellisense – IDE style shell autocomplete
- Carapace-bin: multi-shell multi-command argument completer
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Fish (shell) porting to Rust from C++
I use Carapace which provides completions across tons of shells.
haystack
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Haystack DB – 10x faster than FAISS with binary embeddings by default
I was confused for a bit but there is no relation to https://haystack.deepset.ai/
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Release Radar • March 2024 Edition
View on GitHub
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First 15 Open Source Advent projects
4. Haystack by Deepset | Github | tutorial
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Generative AI Frameworks and Tools Every Developer Should Know!
Haystack can be classified as an end-to-end framework for building applications powered by various NLP technologies, including but not limited to generative AI. While it doesn't directly focus on building generative models from scratch, it provides a robust platform for:
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Best way to programmatically extract data from a set of .pdf files?
But if you want an API that you can use to develop your own flow, Haystack from Deepset could be worth a look.
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Which LLM framework(s) do you use in production and why?
Haystack for production. We cannot afford breaking changes in our production apps. Its stable, documentation is excellent and did I mention its' STABLE!??
- Overview: AI Assembly Architectures
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Llama2 and Haystack on Colab
I recently conducted some experiments with Llama2 and Haystack (https://github.com/deepset-ai/haystack), the NLP/LLM framework.
The notebook can be helpful for those trying to load Llama2 on Colab.
1) Installed Transformers from the main branch (and other libraries)
- Build with LLMs for production with Haystack – has 10k stars on GitHub
- Show HN: Haystack – Production-Ready LLM Framework
What are some alternatives?
complete - bash completion written in go + bash completion for go command
langchain - 🦜🔗 Build context-aware reasoning applications
The Platinum Searcher - A code search tool similar to ack and the_silver_searcher(ag). It supports multi platforms and multi encodings.
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
subcmd - Another approach to parsing and running subcommands. Works alongside the standard flag package.
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
cobra - A Commander for modern Go CLI interactions
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
job - JOB, make your short-term command as a long-term job. 将命令行规划成任务的工具
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
elvish - Powerful scripting language & Versatile interactive shell
jina - ☁️ Build multimodal AI applications with cloud-native stack