Data-Driven Apps with RAG with LangChain4j
Details
Your AI only knows what it learned during training—until you give it access to your documents. Build a complete Retrieval-Augmented Generation system that chunks documents, creates semantic embeddings, and finds relevant context for every question. Watch your AI answer questions about your own files with source citations and confidence scores, grounded in facts rather than hallucinations.
Pre-requisites:
Check out the LangChain4j beginners series: https://aka.ms/langchain4j-for-beginners
Sign up for an Azure free trial: https://aka.ms/AzureFreeTrialDevRelAll
AI summary
By Meetup
Hands-on workshop for developers: build RAG apps with LangChain4j; chunk documents, generate embeddings, and answer with citations and confidence scores.
AI summary
By Meetup
Hands-on workshop for developers: build RAG apps with LangChain4j; chunk documents, generate embeddings, and answer with citations and confidence scores.
