A collection of Spring AI examples
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Updated
Jun 29, 2024 - Java
A collection of Spring AI examples
Creating language agnostic word embeddings via artificial code-switching to share structure across languages ,,for any NLP task, when you less labeled data .
An advertisement system based on Java spring cloud microservices and C++ FAISS embedding search
A TDD api for the "Farmer the Farms".
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
Example of using a conversational AI with embeddings with Java
Java client library for Aleph Alpha
An embedding and visualization for a java source code corpus
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
Mechanism for a search engine backed by inverted indexes (from using Lucene and Hadoop). Word embeddings and Snippet generation were used.
tool for extraction of topics from jira issues
Example of IBM watsonx.ai with Spring AI
compute semantic similarity between arbitrary words and phrases in many languages
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.
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