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Code Along ↗Chat with Your Documents Using GPT & LangChain
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.
Andrea Valenzuela, Josep Ferrer
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Building a GPT Model with Browsing Capabilities Using LangChain Tools
A tutorial on integrating Google SERP, DuckDuckGo, Wikipedia, and YouTube into GPT models using Python and LangChain tools.

совместная сессия кодирования
Building AI Applications with LangChain and GPT
In the live training, you'll use LangChain to build a simple AI application, including preparing and indexing data, prompting the AI, and generating responses.

совместная сессия кодирования
Introduction to Large Language Models with GPT & LangChain
Learn the fundamentals of working with large language models and build a bot that analyzes data.



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.
Key Takeaways:
Additional Resources
Andrea’s Code Along from 2023 - [CODE ALONG] Optimizing GPT Prompts for Data Science
A tutorial from Andrea on Chatbots - [TUTORIAL] Building Context-Aware Chatbots: Leveraging LangChain Framework for ChatGPT
[TUTORIAL] A Beginner's Guide to Using the ChatGPT API
[SKILL TRACK] OpenAI Fundamentals