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Chat with Your Documents Using GPT & LangChain

Tuesday January 9, 11AM ET

Key Takeaways

  • Learn how to effectively load & store documents using LangChain
  • Build a retrieval augmented generation pipeline for querying data
  • Build a question-answering bot that answers questions based on your documents

Your Presenter(s)

Andrea Valenzuela headshot

Andrea Valenzuela

Junior Fellow at CMS, CERN

Andrea Valenzuela is currently working on the CMS experiment at the particle accelerator (CERN) in Geneva, Switzerland. With expertise in data engineering and analysis for the past six years, her duties include data analysis and software development. She is now working towards democratizing the learning of data-related technologies through the Medium publication ForCode'Sake.

She holds a BS in Engineering Physics from the Polytechnic University of Catalonia, as well as an MS in Intelligent Interactive Systems from Pompeu Fabra University. Her research experience includes professional work with previous OpenAI algorithms for image generation, such as Normalizing Flows.

Josep Ferrer headshot

Josep Ferrer

Freelance Data Scientist at NECSTouR

Josep is a freelance Data Scientist specializing in European projects, with expertise in data storage, processing, advanced analytics, and impactful data storytelling. 

As an educator, he teaches Big Data in the Master’s program at the University of Navarra and shares insights through articles on platforms like Medium, KDNuggets, and DataCamp. Josep also writes about Data and Tech in his newsletter Databites (databites.tech). 

He holds a BS in Engineering Physics from the Polytechnic University of Catalonia and an MS in Intelligent Interactive Systems from Pompeu Fabra University.

Why this matters

A killer application of large language models (LLMs) is answering questions about specific documents & datasets. This enables use cases such as customer service bots, question-answering systems about specific domains, & LLMs that can navigate data tasks.

In this code-along, Andrea Valenzuela, Computing Engineer at CERN, and Josep Ferrer Sanchez, Data Scientist at the Catalan Tourist Board, will walk you through building an AI system that can query your documents & data using LangChain & the OpenAI API. Throughout the code-along, they will share best practices for effectively loading & storing documents using LangChain, building a retrieval augmented generation pipeline for querying data, and building a question-answering bot.

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