A production-oriented enterprise knowledge assistant that transforms technical PDF collections into conversational engineering intelligence through semantic retrieval, cross-encoder reranking, and grounded LLM responses.
Engineering organizations generate thousands of pages of classification rules, technical reports, regulations, manuals, and project documentation. Finding precise information inside these documents is slow, error-prone, and heavily dependent on expert knowledge. ChatPDF was designed as an Enterprise Retrieval-Augmented Generation platform to bridge this gap.
Demonstration of Retrieval-Augmented Generation platform
High-quality semantic embeddings for engineering documents.
Fast similarity search over enterprise knowledge bases.
Improves retrieval precision before LLM generation.
Every answer references original source documents.
UI screenshots of the ChatPDF.
