RAG / Generative AI
AI PDF Question Answering
A retrieval-augmented application that lets users ask questions against uploaded documents and receive context-aware answers.
The challenge
What needed to change?
Large documents are difficult to search manually. Users need a faster way to retrieve relevant information without losing the source context.
The solution
How Taaffeitech approached it.
The solution combines document ingestion, chunking, embeddings, retrieval and an LLM response layer to ground answers in the supplied document content.
Core capabilities
PDF ingestion
Semantic retrieval
Context-aware answers
Source-aware response design
Conversation history
API-ready architecture