langchain and LangChain-for-LLM-Application-Development
An Elixir framework implementation and an educational course/tutorial repository are ecosystem siblings, as both provide different entry points (language binding vs. learning resource) into the LangChain ecosystem rather than competing or being used together.
About langchain
brainlid/langchain
Elixir implementation of a LangChain style framework that lets Elixir projects integrate with and leverage LLMs.
Supports multiple LLM providers (OpenAI, Claude, Gemini, Grok, Ollama, and local models via Bumblebee) with a modular component architecture that prioritizes functional design patterns over object-oriented parity with JavaScript/Python ports. Built around the `LLMChain` abstraction for composing language models with data sources and tool integrations, with features like prompt caching across providers and streaming response support.
About LangChain-for-LLM-Application-Development
Ryota-Kawamura/LangChain-for-LLM-Application-Development
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.
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