Simple spring-boot application which ingest a document to apply RAG pattern in order to enrich model knowledge about doc content.
-
Updated
May 8, 2024 - Java
Simple spring-boot application which ingest a document to apply RAG pattern in order to enrich model knowledge about doc content.
A dynamic learning assistant designed to simplify the onboarding and training process for new hires. Users can upload documents or enter URLs for training materials. Built with Spring Boot, @langchain4j and spring-ai
AI implementation using langchain4j and springAI frameworks with 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.
Java version of LangChain
Add a description, image, and links to the pgvector topic page so that developers can more easily learn about it.
To associate your repository with the pgvector topic, visit your repo's landing page and select "manage topics."