Java version of LangChain
-
Updated
Jun 2, 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 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.
compute semantic similarity between arbitrary words and phrases in many languages
Java client library for Aleph Alpha
Semantic search engine written in Java as a university project
Experimenting using low level python c ABI with project panama and spring boot
tool for extraction of topics from jira issues
NLP tool to enrich word embeddings with parse tree information and generate type, word and sentence embeddings
An advertisement system based on Java spring cloud microservices and C++ FAISS embedding search
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 .
A TDD api for the "Farmer the Farms".
Example of using a conversational AI with embeddings with Java
Mechanism for a search engine backed by inverted indexes (from using Lucene and Hadoop). Word embeddings and Snippet generation were used.
Add a description, image, and links to the embeddings topic page so that developers can more easily learn about it.
To associate your repository with the embeddings topic, visit your repo's landing page and select "manage topics."