langchaingo
The Go implementation of LangChain, enabling developers to build LLM-powered applications through composable components.
What is langchaingo?
LangChainGo is the Go language implementation of the LangChain framework, designed to help developers build applications with large language models (LLMs) through composable components. It provides a structured way to integrate LLMs like OpenAI and Google Gemini into Go applications, handling prompts, chains, agents, and memory. The project solves the problem of building maintainable and scalable LLM-powered systems in the Go programming language.
Go developers and engineers who want to incorporate LLM capabilities into their applications, particularly those building chatbots, AI assistants, data processing pipelines, or any system requiring natural language understanding.
Developers choose LangChainGo because it brings the proven patterns and abstractions of LangChain to Go, offering a familiar framework for LLM development with the performance and type safety of Go. It provides a comprehensive set of tools specifically designed for Go's ecosystem, making it the easiest way to write LLM-based programs in Go.
Overview
LangChain for Go, the easiest way to write LLM-based programs in Go
Use Cases
Best For
- Building chatbots and conversational AI applications in Go
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