The AIDocumentLibraryChat project uses the Spring AI project with OpenAI to search in a document library for answers to questions. To do that, Retrieval Augmented Generation is used on the documents. Retrieval Augmented Generation The process looks like this: The process looks like this: Upload Document Store Document in Postgresql DB. Split Document to create Embeddings. Create Embeddings with a call to the OpenAI Embedding Model. Store the Document Embeddings in the Postgresql Vector DB.
