LangChain.rb

Build LLM-powered applications in Ruby. Idiomatic Ruby library for building AI applications with support for multiple LLM providers, vector stores, and RAG pipelines. MIT licensed.

View on GitHub Unknown

Guide pending

We haven't written this guide yet.

Guides are drafted from the project's own README and metadata. Until one exists, check the product's repository and documentation for authoritative information.

Nearby on the map

Related projects

aisuite

andrewyng/aisuite

Simple, unified interface to multiple Generative AI providers. Use OpenAI, Anthropic, Google, and 10+ other providers with a standardized API similar to OpenAI's. Switch between models or providers with a single line of code. MIT licensed.

unknown unknownactivity unknown

Spring AI

spring-projects/spring-ai

Application framework for AI engineering in the Spring ecosystem. Unified API for LLMs, vector stores, and embedding models with seamless integration into Spring Boot applications. Supports RAG, tool calling, and structured outputs. Apache 2.0 licensed.

unknown unknownactivity unknown

Rig

0xPlaygrounds/rig

Rust library for building scalable, modular LLM-powered applications. Type-safe agent framework with unified LLM interface, built-in vector store integrations, and ergonomic abstractions for production AI systems. MIT licensed.

unknown unknownactivity unknown

Ax

ax-llm/ax

TypeScript framework for building reliable AI applications. "Official" DSPy-inspired framework for TypeScript with type-safe LLM interactions, chain-of-thought reasoning, and structured output validation. Apache 2.0 licensed.

unknown unknownactivity unknown

Genkit

genkit-ai/genkit

Open-source framework for building full-stack AI-powered applications in JavaScript, Go, and Python. Built and used in production by Google's Firebase. Unified interface for integrating AI models from multiple providers with built-in RAG, tool calling, structured outputs, and developer tools. Apache 2.0 licensed.

unknown unknownactivity unknown

ContextGem

shcherbak-ai/contextgem

Effortless LLM extraction framework for documents. Powerful abstractions for building extraction workflows with automated dynamic prompts, data modeling, validation, and precise reference mapping. Apache 2.0 licensed.

unknown unknownactivity unknown