Build Multilingual Support RAG Bot - Bhashini, Langchain, ChromaDB Demo 

Hands-on Workshop: Building Multilingual Support RAG Bot with Bhashini, Langchain & ChromaDB
This video is a recording of a hands-on workshop where you learned how to create a Multilingual Response Retrieval (RAG) Bot using Bhashini, Langchain, and ChromaDB.
in - / shrijayan
W - shrijayan.cplu...
X - x.com/rshrijayan
For the event: gdg.community....
In this workshop, you explored:
Bhashini: A framework for building multilingual NLP applications.
Langchain: A library for efficient language processing tasks.
ChromaDB: A knowledge base management system for storing and retrieving multilingual data.
By the end of the workshop, you gained practical experience in:
Setting up the necessary tools and libraries.
Building a RAG model that can handle queries in multiple languages.
Training the model on your own multilingual dataset.
Deploying the model to serve real-time multilingual queries.
This video is a valuable resource for anyone interested in:
Building multilingual chatbots or virtual assistants.
Enhancing the capabilities of existing NLP applications.
Working with multilingual data and knowledge graphs.
Whether you're a beginner in NLP or a seasoned developer, this workshop provides a solid foundation for building robust multilingual RAG Bots.