Learn how to build a tabular Question Answering (QA) system for unstructured PDF documents in this 28-minute conference talk from Data Science Conference Europe 2023. Explore the complete pipeline process from data preparation to modeling as Vladimir Ageev shares his team's insights and experiences. Discover practical approaches for implementing QA systems that can effectively extract and process information from tables within documents, making it valuable for professionals working with document automation and information retrieval systems.
From Tables to Answers: Building QA Systems for In-Document Searches
Data Science Conference via YouTube
Overview
Syllabus
From Tables to Answers: building QA System for In-Document Searches | Vladimir Ageev | DSC Europe 23
Taught by
Data Science Conference
Related Courses
-
LangChain Chat with Your Data
-
RAG Fundamentals and Advanced Techniques - Full Course
-
Document Q&A Using LlamaIndex - Building Applications for Unstructured Data Extraction
-
Table Question-Answering with TAPAS in Python
-
Langchain: RAG QA Tool with Gemini Pro, Langchain, and Chroma
-
Building Production RAG Over Complex Documents
