Java version of LangChain
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Updated
May 25, 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.
Experimenting using low level python c ABI with project panama 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.
A TDD api for the "Farmer the Farms".
Java client library for Aleph Alpha
Semantic search engine written in Java as a university project
Example of using a conversational AI with embeddings with Java
A high-performance Java Implementation of RDF2Vec
An implementation of the Watset clustering algorithm in Java.
An advertisement system based on Java spring cloud microservices and C++ FAISS embedding search
compute semantic similarity between arbitrary words and phrases in many languages
Mechanism for a search engine backed by inverted indexes (from using Lucene and Hadoop). Word embeddings and Snippet generation were used.
NLP tool to enrich word embeddings with parse tree information and generate type, word and sentence embeddings
An embedding and visualization for a java source code corpus
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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