Java version of LangChain

Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.

Knowledge Graph Embedding LDA. AAAI 2017

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.

A high-performance Java Implementation of RDF2Vec

compute semantic similarity between arbitrary words and phrases in many languages

tool for extraction of topics from jira issues

Example of IBM watsonx.ai with Spring AI

A collection of Spring AI examples

Spring Petclinic application with a chatbot powered by OpenAI's Generative AI and the LangChain4j project

Higher Level Primitives for working with LLMs in Java

Spring AI, chat client, vector store, RAG, multimodality samples

Simple Quarkus RAG - Milvus

An embedding and visualization for a java source code corpus

Creating language agnostic word embeddings via artificial code-switching to share structure across languages ,,for any NLP task, when you less labeled data .

NLP tool to enrich word embeddings with parse tree information and generate type, word and sentence embeddings

Semantic search engine written in Java as a university project

Dust Actor library for interacting with LLMs and embedding engines

Java client library for Aleph Alpha