RAG for Information Retrieval & Summarization
Master the power of Retrieval-Augmented Generation (RAG) to retrieve precise data and generate meaningful summaries. Learn how to apply RAG for advanced use cases and create impactful AI solutions.
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Contact our teamWhat will you learn?
This training will teach you how to use the Retrieval-Augmented Generation (RAG) framework to solve real-world challenges. You will explore how RAG combines retrieval with generation to handle unstructured data, improve contextual accuracy, and create meaningful summaries. From legal document analysis to knowledge management, you will dive deep into practical use cases and learn to deploy scalable RAG systems. Through hands-on projects, you will develop a solid understanding of RAG techniques and tools like Hugging Face Transformers, LangChain, and Elasticsearch, ensuring you are ready to build and deploy RAG-powered AI solutions confidently.
Key takeaways
- Master RAG to retrieve data and generate summaries
- Learn advanced contextual accuracy techniques
- Apply RAG to real-world use cases like legal tech
- Build RAG systems for various industries
- Gain hands-on experience with powerful tools
Program
- Deep Dive into RAG: Explore how retrieval and generation work together in RAG.
- Improving Summarization Accuracy: Master techniques to enhance contextual understanding.
- Use Cases in RAG: Learn how RAG transforms fields like legal research and knowledge management.
- Building RAG Systems: Engage in hands-on projects with real-world datasets.
- Deploying RAG Models: Scale and optimize RAG models for performance.
Who is it for?
This training is for tech enthusiasts, data scientists, AI developers, and professionals looking to create impactful AI systems for industries like law, healthcare, and finance. It is perfect for those who want to understand and deploy RAG in their workflows.
Requirements
Basic knowledge of the topic is beneficial.
Why should I do this training?
Practical learning
Build RAG systems for real-world applications.
Expert guidance
Learn from specialists in RAG frameworks.
Industry relevance
Gain skills applicable to high-demand sectors.
What does it look like?
What else
should I know?
After registering, you will receive a confirmation email with practical information.
See you soon!
Course information
Available remotely or in-person
Duration: 14-16 hours
Real-world datasets provided for projects
Certification provided after completion
Includes scalability and deployment tips
Tools covered: Hugging Face, LangChain
