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Build LLM-powered applications in Ruby
LangChain is a framework for building applications that chain large language models with external data sources and third-party tools. It serves as an orchestrator for autonomous agents that use language models to plan and execute multi-step tasks, while providing a toolkit for linking interoperable AI components into sequences to prototype complex model behaviors. The project provides a model agnostic integration layer, allowing users to switch between different language model providers using a standardized interface. It also includes tools for observability and evaluation to track the perfor
LangChainJS is an AI agent orchestrator and application framework designed for building autonomous systems that use large language models to plan and execute tasks. It serves as an integration library that connects language models with tools, memory, and external data sources to create context-aware logic and complex workflows. The project provides a provider-agnostic interface and model provider abstraction, allowing applications to switch between different language model providers without rewriting core logic. It includes a toolkit for retrieval augmented generation, utilizing retrievers to
🦜️🔗LangChain for Rust, the easiest way to write LLM-based programs in Rust
The main features of abraxas-365/langchain-rust are: Frameworks and Ports.
Projects with overlapping indexed features include: andreibondarev/langchainrb — Build LLM-powered applications in Ruby. brainlid/langchain. hwchase17/langchain — LangChain is a framework for building applications that chain large language models with external data sources and… hwchase17/langchainjs — LangChainJS is an AI agent orchestrator and application framework designed for building autonomous systems that use… langchain4j/langchain4j — LangChain4j is a framework and library for building applications powered by large language models on the JVM. It… tmc/langchaingo — langchaingo is an LLM application framework for Go designed for building language model-powered applications and…