boxcars
langchain
| boxcars | langchain | |
|---|---|---|
| 5 | 36 | |
| 416 | 84,994 | |
| 3.1% | 5.2% | |
| 8.4 | 10.0 | |
| 5 days ago | 5 days ago | |
| Ruby | Python | |
| 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.
boxcars
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Building an app around a LLM, Rails + Python or just Python?
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)
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5 things I wish I knew before building a GPT agent for log analysis
I started with Langchain, but I had a hell of time debugging and tweaking the framework to suit my needs. Next, I shifted to Boxcars, which has fewer abstractions. While Boxcars was easier to understand, I still struggled when things behaved differently than I’d expected. Finally, I said screw it…I’m not doing that much:
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Re-implementing LangChain in 100 lines of code
We ported the core of LangChain to Ruby, and while it is way more that 100 lines, I would give similar feedback as the author. Here is the repo if anyone is interested https://github.com/BoxcarsAI/boxcars
- Boxcars – Build LLM Application in Ruby on Rails
- ROR app and integrating ChatGPT
langchain
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Deploy LangServe Application to AWS
Limited by the current packaging method of Pluto, it does not yet support LangChain's Template Ecosystem. Coming soon
- Construyendo un asistente genAI de WhatsApp con Amazon Bedrock
- Show HN: SpRAG – Open-source RAG implementation for challenging real-world tasks
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Aider: AI pair programming in your terminal
Big fan of Aider.
We are interesting in integrating Aider as a tool for Dosu https://dosu.dev/ to help it navigate and modify a codebase on issues like this https://github.com/langchain-ai/langchain/issues/8263#issuec...
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🦙 Llama-2-GGML-CSV-Chatbot 🤖
Developed using Langchain and Streamlit technologies for enhanced performance.
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Building a WhatsApp generative AI assistant with Amazon Bedrock and Python
Tip: Kenton Blacutt, an AWS Associate Cloud App Developer, collaborated with Langchain, creating the Amazon Dynamodb based memory class that allows us to store the history of a langchain agent in an Amazon DynamoDB.
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👑 Top Open Source Projects of 2023 🚀
LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup.
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Fuck You, Show Me the Prompt
> Furthermore, the prompt has a spelling error (Let'w) and also overly focuses on the negative about identifying errors - which makes me skeptical that this prompt has been optimized or tested.
Fixed in https://github.com/langchain-ai/langchain/commit/7c6009b76f0...
- LangChain Repository Disappeared
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🆓 Local & Open Source AI: a kind ollama & LlamaIndex intro
Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects
What are some alternatives?
ruby-openai - OpenAI API + Ruby! 🤖❤️ Now with GPT4o 🚀🚀🚀
llama_index - LlamaIndex is a data framework for your LLM applications
pycall.rb - Calling Python functions from the Ruby language
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
gpti - A simple REPL for interacting with OpenAI's GPT models
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
griptape - Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
Scenic - Versioned database views for Rails
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
langchainrb - Build LLM-powered applications in Ruby
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks