langchaingo and Langchain-made-for-Go
The official LangChain Go implementation (A) and an independent community reimplementation (B) are competitors offering alternative Go bindings for LLM composition, where developers should choose A for production use given its maturity and maintenance.
About langchaingo
tmc/langchaingo
LangChain for Go, the easiest way to write LLM-based programs in Go
Provides modular abstractions for language models, memory, chains, and agents that compose together into complex LLM workflows. Supports multiple LLM providers (OpenAI, Gemini, Ollama) through a unified interface and includes built-in components for retrieval-augmented generation, prompt templating, and agent loops.
About Langchain-made-for-Go
TalhaBruh/Langchain-made-for-Go
Langchain implementation in Go, enabling developers to build applications with LLMs through composability. It includes example usage and references for creating AI-driven applications, such as generating company name suggestions.
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