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When building Retrieval-Augmented Generation (RAG) systems that parse local PDFs or office documentation, ensure that files are scrubbed of Personally Identifiable Information (PII) before calculating embeddings and uploading vectors to public cloud hosting environments. spring ai in action pdf github link
Understand the PromptTemplate class. Your GitHub search should include examples of:
For specific implementations like Chat Models, RAG, and Vector Databases, check out the author's Spring AI Examples repository. ⚠️ Note on "Action" Series PDF Links This public link is valid for 7 days
Using the GitHub repo and the PDF documentation, here is a one-week plan.
"You must create a ChatClient bean that leverages the Builder pattern to define default system prompts." Can’t copy the link right now
Spring AI in Action brings the "In Action" series' signature practical, example-driven approach to the world of Generative AI. It is designed for Spring developers who want to integrate AI capabilities without becoming data scientists. Key Topics Covered in the Book