WORKSHOP
AI Made Easy: Building Next-Gen Data Pipelines with Langchain and Langgraph
23rd OCT 2024 | 15:30 AM to 18:00 PM
Venue: Workshop Room 2, NIMHANS Convention Centre, Bangalore
FEES:
• Rs.299 for Pro pass holders
• Rs2699 for Standard Pass holders
• Rs2999 for all others
(Limited seats available)
Objective of the workshop:
The primary objective of this workshop is to equip participants with the knowledge and practical skills needed to design and implement advanced data pipelines using LangChain and LangGraph.The workshop aims to empower participants to build sophisticated, data-driven AI solutions with confidence and ease, leveraging the power of LangChain and LangGraph to develop various AI agents.
Karan Singh
Software Engineer 2, DELL
Sreeja Radhakrishnan
Software Engineer 2, DELL
Puja Chaudhury
Senior Consultant, DELL
- The workshop is ideal for tech enthusiasts interested in creating AI agentic workflows and pipelines.
- In the workshop "AI Made Easy: Building Next-Gen Data Pipelines with LangChain and LangGraph," participants will first learn how to set up and configure local language models using Ollama, including best practices for installation and testing. The workshop will then explore key concepts, highlighting the differences between fine-tuning, few-shot prompting, and retrieval-augmented generation (RAG), with a focus on their applications and use cases. Attendees will dive into RAG techniques, including query translation, indexing mechanisms, retrieval schemes, and routing and agents, to understand how to enhance data pipelines. The session will also cover LangGraph, demonstrating its workflows and providing examples of integrating corrective RAG methods to refine results. Finally, the workshop will address various agentic techniques and strategies, explaining how to apply them effectively for different use cases.
- Laptop: Attendees should bring their own laptops with following software pre installed
-
1.Install Vscode
2.Install pytohn
3.12 3.Install Ollama ->ollama run llama3.1 - Willingness to Learn: An open mind and a willingness to learn and apply new concepts.
Benefits/Takeaways of this workshop for the attendees (What will attendees do after attending the workshop which they were not able to do before attending this)Benefits/Takeaways of this workshop for the attendees
The key takeaway from this workshop will be:
- Learn the fundamentals of Retrieval-Augmented Generation (RAG) and how it enhances AI-driven applications by combining retrieval-based and generative models.
- Get acquainted with Langchain and Langgraph, two leading frameworks that simplify the creation and management of AI-driven data pipelines.
- Develop Multi Agent Workflows.
- Gain practical experience in constructing and deploying RAG pipelines. Learn to handle data retrieval, preprocessing, model integration, and post-processing steps.
This workshop promises to equip attendees with the knowledge and skills needed to build and deploy their own AI-driven data pipelines, providing a solid foundation for future innovations in AI and data science.
About Speakers
Karan is a skilled software engineer who has had considerable experience with golang, microservices, docker, kubernetes and is also proficient in python, datascience and AI.
Sreeja is an Automation Test Engineer at Dell Technologies, specializing in automation with Python, Selenium, Robot Framework.With a solid background in Kubernetes and microservices, Sreeja brings valuable expertise to her work. She is currently exploring Generative AI, Retrieval-Augmented Generation (RAG), LangChain, and LangGraph to enhance testing strategies.Her diverse experience and passion for the field drive her to share her knowledge and insights with others.
Puja is a seasoned software engineer with extensive experience in multiple programming languages, including Python, Java, and Go. As a microservices expert, she excels in designing scalable architectures and implementing robust, cloud-based solutions using Kubernetes for orchestration. With a keen focus on native applications and a passion for generative AI, Puja leverages cutting-edge technologies to enhance user experiences and drive innovation, making her an invaluable asset to any tech team. Committed to fostering knowledge-sharing, she actively engages in workshops and tech talks to inspire others in the field.