Authors

Description

In this workshop, you will learn how to build a bot that can answer questions using a combination of text and images. Using the RAG technique, Langchain and vector databases. The steps that will be followed during the workshop are: - Assembly of a multimodal database: A database will be created that stores images and text that the bot will use to learn. - Data processing and preparation: Techniques will be applied so that the bot can interpret the information in the database correctly. - Development of a bot with LLM and Langchain: A large language model (LLM) will be implemented together with the Langchain library to create a conversational bot. - Testing the bot with RAG: We will test the bot with questions and observe how it answers them using information from the database and RAG techniques.