Dive into Spring AI is an open-source educational project that teaches how to build AI applications using the Spring AI framework. It includes working examples of streaming responses, autonomous agents, function calling, embeddings with vector stores, RAG and Graph RAG pipelines, conversation history, and multimodal image capabilities. The project provides Docker-based setup for Redis Stack and Neo4j and supports both local models and OpenAI-compatible proxy services.
In the AI & ML space, Sub2API takes a focused approach. It focuses on learning and implementing production AI features with Spring AI by providing concrete code examples and local infrastructure setup. It is built as an open-source project for java developers. It ships for the web and API, and it can be self-hosted.
It is developed by qifan777, and it first shipped in 2024. Development happens publicly on GitHub with 420 stars and 5 commits in the last 90 days. Among its 7 catalogued features are SSE Streaming, Intelligent Agents, and Function Calling. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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