PDF Document Q&A Assistant

PDF Document Q&A Assistant helps developers quickly build an AI-powered knowledge assistant for their own documents.

Users can upload documents and ask questions using natural language. The system retrieves the most relevant sections and uses an LLM to generate an answer based on the available document content.

Each answer can include source references, making it easier for users to verify where the information came from.

The starter kit can be used as the foundation for internal knowledge assistants, document search applications, support tools, or specialized AI assistants.

Key Features

• Natural-language Q&A over documents

• Retrieval-Augmented Generation (RAG)

• Source references with generated answers

• Semantic document search

• Support for multiple documents

• PDF, Word, Excel, PowerPoint and text support

• Vector-based document retrieval

• Easy integration with existing applications

Example Use Case

Imagine a company has hundreds of internal policies, procedures, and technical documents.

Instead of manually searching through individual files, employees can upload the documents and ask questions such as:

“What are the required steps for reporting a quality issue?”

The assistant retrieves the relevant sections, generates an answer, and shows which documents were used as sources.

Who is it for?

This asset is useful for AI developers, startups, consultants, internal knowledge teams, and companies that want to build document-based AI assistants without starting from scratch.

What you get

Python source code, RAG pipeline, document processing components, example prompts, sample documents, configuration files, and setup instructions.