5. ChatGPT-Powered Chatbot Tutorial Chat With your PDFs Spring AI - Part 2
ChatGPT-Powered Chatbot Tutorial Chat With your PDFs Spring AI - Part 2
In this comprehensive YouTube tutorial, you'll master building a powerful AI system that:
Extracts data and text from ANY PDF document using the Spring AI module and ETL (Extract, Transform, Load) processes.
Transforms the extracted information for seamless integration with various chatbot frameworks.
Empowers your chatbot with advanced Q&A capabilities using cutting-edge AI models like ChatGPT, OpenAI's LaMDA (Language Model for Dialogue Applications), Jurassic-1 Jumbo's LLama LaMDA 3, and Google AI's Bedrock.
Stores key information as embeddings in a vector database for efficient retrieval and analysis by your chatbot.
By the end of this video, you'll be able to:
Develop a robust Spring AI application to handle PDF data extraction.
Design a chatbot that interacts with users and answers their questions about the processed documents.
Integrate industry-leading AI models to provide informative and insightful responses.
Utilize vector databases to optimize information storage and retrieval for your chatbot.
This tutorial is perfect for developers and AI enthusiasts who want to:
Automate document processing and analysis tasks.
Build intelligent chatbots that can answer complex questions.
Leverage the power of AI to unlock valuable insights from PDFs.
Get ready to:
Dive into Spring AI and its capabilities for PDF data extraction.
Explore ETL processes for efficient data transformation.
Unleash the potential of ChatGPT, LaMDA, LLama LaMDA 3, and Bedrock in your chatbot.
Implement vector databases for optimized information storage.
Don't miss out on this opportunity to empower your AI projects with powerful PDF processing and insightful chatbot interactions!
Like and subscribe for more in-depth AI tutorials!
REPOSITORY [https://gitlab.com/code-with-bisky/sp...]
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