SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
Java version of LangChain
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
A high-performance Java Implementation of RDF2Vec
A project to show howto use SpringAI with OpenAI to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.
An implementation of the Watset clustering algorithm in Java.
The only Java AI framework with a complete Dev → Test → Prod prompt lifecycle, featuring multi-agent orchestration and built-in audio processing
Spring Petclinic application with a chatbot powered by OpenAI's Generative AI and the LangChain4j project
compute semantic similarity between arbitrary words and phrases in many languages
Java library to simplify the integration of LLMs
A collection of Spring AI examples
Experimenting using low level python c ABI with project panama and spring boot
Java client library for Aleph Alpha
TicketScout is a ticket system for professionals in specialized tech domains, not just software teams. It simplifies ticketing with easy creation and updates using only a title and description. Its AI-powered semantic search understands ticket context, allowing intuitive searches without specific keywords.
Dust Actor library for interacting with LLMs and embedding engines
Semantic search engine written in Java as a university project
Spring AI, chat client, vector store, RAG, multimodality samples
Example of IBM watsonx.ai with Spring AI
A TDD api for the "Farmer the Farms".
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