LangChain Go is the Go implementation of LangChain, providing the easiest way to write LLM-based programs in Go. It offers modular components including chains, tools, callbacks, vector stores, and document loaders, enabling developers to build production-grade applications from prompt assembly to multi-step agent orchestration using idiomatic Go.
Core Modules
- Chains and agents with composable interfaces for assembling complex LLM workflows
- Multiple LLM backends including OpenAI, local models, and other providers for both client-side and server-side use
- Vector stores and embeddings for building retrieval-augmented generation (RAG) pipelines
- Document loaders and text splitters for ingesting and preprocessing diverse data sources
- Callbacks and observability hooks for tracing, logging, and monitoring LLM interactions
Use Cases
- Integrating conversational assistants, document Q&A, and RAG workflows into Go microservices
- Building backend systems that require low-latency model invocation and reliable production deployment
- Embedding LLM capabilities directly into existing Go services without introducing additional language runtimes
- Prototyping and testing LLM features in Go-based CLI tools and server applications
Technical Highlights
- Pure Go implementation leveraging Go's concurrency model for lightweight, scalable execution
- Composable API chains tools and modules to orchestrate complex tasks while maintaining testability
- Open-sourced under the MIT License with GoDoc references and a documentation site for easy integration