LangChain4j is a Java library that simplifies LLM integration through a unified API, supporting popular models and vector databases with built-in RAG, tool calling, MCP, and agent capabilities that integrate seamlessly with enterprise Java frameworks.
Spring AI Alibaba is an Agentic AI Framework for Java developers, built on the Spring ecosystem to provide multi-agent collaboration, workflow orchestration, and RAG capabilities.
llmware is a unified enterprise RAG framework for deploying small specialized models, featuring knowledge graphs, document parsing, vector indexing, and agent toolchains for building private, compliant AI applications.
An application framework for AI engineering from the Spring team, providing unified LLM integration, vector storage, function calling, RAG, and agent development for Java and Spring ecosystems with support for OpenAI, Anthropic, Ollama, and more.
Build modular and scalable LLM Applications in Rust. Provides agent orchestration, tool-use, RAG pipelines, and other core capabilities for high-performance AI agent systems.