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
An implementation of the Watset clustering algorithm in Java.
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.
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
A collection of Spring AI examples
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.
Experimenting using low level python c ABI with project panama and spring boot
Java client library for Aleph Alpha
Spring AI, chat client, vector store, RAG, multimodality samples
Dust Actor library for interacting with LLMs and embedding engines
Semantic search engine written in Java as a university project
Example of IBM watsonx.ai with Spring AI
tool for extraction of topics from jira issues
Creating language agnostic word embeddings via artificial code-switching to share structure across languages ,,for any NLP task, when you less labeled data .
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