guidance VS langchainrb

Compare guidance vs langchainrb and see what are their differences.

guidance

A guidance language for controlling large language models. (by guidance-ai)
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guidance langchainrb
22 16
16,895 962
5.3% -
9.8 9.5
2 days ago 1 day ago
Jupyter Notebook Ruby
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

guidance

Posts with mentions or reviews of guidance. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-11.

langchainrb

Posts with mentions or reviews of langchainrb. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-15.
  • First 15 Open Source Advent projects
    16 projects | dev.to | 15 Dec 2023
    8. LangChain RB | Github | tutorial
  • Create AI Agents in Ruby: Implementing the ReAct Approach
    3 projects | news.ycombinator.com | 18 Sep 2023
  • Lost on LangChain: Can someone help with the Question Answer concept?
    2 projects | /r/LangChain | 11 Jul 2023
    So I hooked up the Ruby on Rails langchainrb gem (https://github.com/andreibondarev/langchainrb) and it seems like the approach is to store the plane text entries as meta data on pinecone. I definitely DO NOT want to do this as the data is private and secure on my own DB.
  • ruby and ML/AI chatgpt
    3 projects | /r/ruby | 7 Jul 2023
    langchain
    3 projects | /r/ruby | 7 Jul 2023
    This looks promising: LangChain and is similar to it's python counterpart.
  • Emerging Architectures for LLM Applications
    6 projects | news.ycombinator.com | 20 Jun 2023
    Is the emerging architecture made out to be more complicated than what most of the companies are currently building? Perhaps! But this is most likely the general direction where things will start trending towards as the auxiliary ecosystem matures.

    Shameless plug: For fellow Ruby-ists we're building an orchestration layer for building LLM applications, inspired by the original, Langchain.rb: https://github.com/andreibondarev/langchainrb

  • Building an app around a LLM, Rails + Python or just Python?
    6 projects | /r/rails | 6 Jun 2023
    currently in the same boat as you at my company, we've been looking at Boxcars and LangchainRB as our gems but they're pretty new to the scene so not sure about that. I love the idea of langchain for the extensibility of it though - we used the ruby-openai gem for a while but it didn't do what we needed. I'll come back in a week or two with with what we decide (python microservice with flask served api endpoints vs ruby all the way)
    6 projects | /r/rails | 6 Jun 2023
    I'm the author of Langchain.rb.
  • 5 things I wish I knew before building a GPT agent for log analysis
    3 projects | /r/OpenAIDev | 5 Jun 2023
    @dliteful23 I loved your super detailed lessons-learned article! I'm the author of Langchain.rb, I would love to hear what you think of it if you get a chance to check it out. If there's anything that you'd like to see in the framework, please do let us know and we'll make sure to build it out if it aligns with the vision.
  • LangChain: The Missing Manual
    5 projects | news.ycombinator.com | 19 May 2023
    We’re building “Langchain for Ruby” under the current working name of “Langchain.rb”: https://github.com/andreibondarev/langchainrb

    People that have contributed on the project thus far each have at least a decade of experience programming in Ruby. We’re trying our best to build an abstraction layer on top all of the common emerging AI/ML techniques, tools, and providers. We’re also focusbig on building an excellent developer experience that Ruby developers love and have gotten to expect.

    Unlike the Python project, as it’s been pointed out here a countless number of times, we’d like to avoid deeply nested class structures that make it incredibly difficult to track and extend.

    We’ve been pondering over the “what does Rails for Machine Learning look like?” question, and we’re taking a stab at answering this question.

    We’re hyper-focused on the open source community and the developer community at large. All feedback/ideas/contributions/criticism are welcome and encouraged!

What are some alternatives?

When comparing guidance and langchainrb you can also consider the following projects:

lmql - A language for constraint-guided and efficient LLM programming.

semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps

langchain - 🦜🔗 Build context-aware reasoning applications

NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]

ruby-openai - OpenAI API + Ruby! 🤖❤️ Now with Assistants, Threads, Messages, Runs and Text to Speech 🍾

outlines - Structured Text Generation

localLLM_langchain - Local LLM Agent with Langchain

llama-cpp-python - Python bindings for llama.cpp

Microsoft-Activation-Scripts - A collection of scripts for activating Microsoft products using HWID / KMS38 / Online KMS activation methods with a focus on open-source code, less antivirus detection and user-friendliness.