Java version of LangChain
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Updated
Jul 16, 2024 - Java
Java version of LangChain
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
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.
compute semantic similarity between arbitrary words and phrases in many languages
A high-performance Java Implementation of RDF2Vec
tool for extraction of topics from jira issues
Example of IBM watsonx.ai with Spring AI
A collection of Spring AI examples
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
Creating language agnostic word embeddings via artificial code-switching to share structure across languages ,,for any NLP task, when you less labeled data .
Example of using a conversational AI with embeddings with Java
An advertisement system based on Java spring cloud microservices and C++ FAISS embedding search
An embedding and visualization for a java source code corpus
Java client library for Aleph Alpha
A TDD api for the "Farmer the Farms".
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