Custom Data Chatbot (PDF / CSV / TXT)

Description

Build a chatbot that answers from your uploaded files using embeddings.

Learn how to build an AI-powered chatbot that can read and understand your PDFs, CSVs, and documents.

We’ll walk through how to process files, create embeddings, store them in a vector database, and build a Retrieval-Augmented Generation (RAG) pipeline that gives accurate, context-aware answers.

What we’ll cover:
• How to load and chunk PDFs and CSVs
• Understanding embeddings and semantic search
• Creating a vector store for your documents
• Building a simple RAG pipeline
• Connecting your chatbot to a UI or CLI
• Tips for accuracy, performance, and scalability

Hands-on demo:
We will build a custom data chatbot end-to-end that reads your files, retrieves knowledge, and answers naturally using LLMs.

Perfect for students, developers, data engineers, AI enthusiasts, and anyone who wants to build intelligent search or chat systems.

The Google Meet link will be shared here before the event starts. Please check back closer to the session time