A secure, retrieval-augmented generation (RAG) system for instant answers from your internal documentation.
Semantic retrieval using cosine similarity on high-dimensional embeddings.
Every answer is backed by strict citations from the knowledge base.
Instant document chunking and vectorization on the client side.