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LangChain Rust is an open-source Rust implementation inspired by the LangChain ecosystem for building applications powered by large language models. The library aims to provide Rust developers with a structured framework for orchestrating prompts, chains, agents, and external tools within LLM-driven workflows. By adapting LangChain concepts to the Rust programming language, the project emphasizes performance, safety, and efficient memory management. Developers can use the framework to build chatbots, autonomous agents, and knowledge-augmented AI systems that interact with external data sources. The library provides abstractions for model providers, prompt templates, conversation memory, and vector search integrations. It also enables the construction of multi-step pipelines where LLM outputs feed into subsequent actions or tool calls.
Features
- Rust framework for building applications powered by large language models
- Prompt templates and conversational chains for structured AI interactions
- Support for agent architectures that use external tools and APIs
- Integration with vector databases and retrieval-augmented generation pipelines
- Abstractions for connecting to LLM providers such as OpenAI
- Composable pipelines for building multi-step AI workflows
Project Samples
