Ai Powered Document Question Answering

via “question-answering over long documents and knowledge bases”

Compact 3B model balancing capability with edge deployment.

Unique: 128K context enables Q&A over entire documents without retrieval, eliminating chunking artifacts and retrieval latency — most Q&A systems require RAG with 4-8K context windows and external vector databases

vs others: Faster Q&A than RAG systems (no retrieval overhead) while maintaining privacy; simpler architecture than retrieval-based systems with no vector database dependency