Building Scalable Industry Applications with RAG and Agentic Systems

Building Scalable Industry Applications with RAG and Agentic Systems

16 Oct 202413:10pm - 16 Oct 202414:10pm

Building Scalable Industry Applications with RAG and Agentic Systems

About the Event

In this session, we’ll explore how two of the most powerful techniques for building scalable industry-grade applications—Retrieval-Augmented Generation (RAG) and agentic systems—are revolutionizing the way large language models (LLMs) are deployed in production environments.

We’ll cover the end-to-end process of implementing LLMs for real-world use cases, from integrating RAG to enhance knowledge retrieval and generation, to creating autonomous systems that interact seamlessly with users. We’ll also dive into practical strategies for evaluating LLMs in production, focusing on how to monitor performance, handle edge cases, and integrate LLMs into intuitive UIs that scale across industries.


Key Takeaways:

- Understanding the core concepts behind RAG and agentic systems for scalable LLM applications.

- Techniques for integrating LLMs into industry-grade production environments.

- Practical deployment strategies with UI integrations using tools like Streamlit or other frontend frameworks.

- How to evaluate the performance of LLMs in real-world applications and ensure reliability at scale.

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Who is this DataHour for?

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  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Anuj Saini

Anuj Saini

Principal Data Scientist at RPX

Anuj Saini is a Subject Matter Expert with over 15 years of industry experience in Natural Language Processing, Search Technologies, Statistics, Analytics, Modelling, Data Science, Data Mining, and Machine Learning. He has a proven track record in developing systems based on NLP, Machine Learning, and Cloud Technologies. You can reach him on LinkedIn.

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Registration Details

2200

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