Java RAG Tutorial (with Local LLMs): AI for your PDFs

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Learn how to implement RAG (Retrieval Augmented Generation) from scratch. This Spring AI course teaches you how to use RAG to combine your own custom data with the power of Large Language Models (LLMs).

Learn how to build a RAG (Retrieval Augmented Generation) app in Java that can let you query/chat with your PDFs using generative AI.

This project contains some more advanced topics, like how to run RAG apps locally (with OpenAI), how to update a vector DB with new items, how to use RAG with PDFs (or any other files), and how to test the quality of AI generated responses.

Discount Code: SPRING3

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if you do not mind, I will use this idea in my projects some can be commercial in future, please let me know if it is not ok, thanks a lot

mohammadtoficmohammad

application is not started due to the below error Caused by: ERROR: relation "vector_store" does not exist then i tried the schema.sql script manually in my postgres but its giving the ERROR: Could not open extension control file "C:/Program No such file or directory.extension "vector" is not available

SSPTech-tggd

Please mention, how vector embeddings are generated automatically by calling chatgpt apis using your private keys which happens impliclty when data is loaded into vector store

vinitsunita

Sir can you make spring boot and next js14 on server deployment configuration video, It not in the whole internet

KhawajaHamdanAhmad

Java RAG Tutorial (with Local LLMs): AI for your PDFs

Java RAG Tutorial (with Local LLMs): AI for your PDFs

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