Features
Everything you need for enterprise AI document search
A focused RAG platform for organizations that want AI answers grounded in their own knowledge base — with citations.
AI Document Chat
Ask questions in natural language and get answers grounded in your uploaded PDFs, Word, and Excel files.
Enterprise AI Search
Semantic search finds the right knowledge even when keywords do not match — across every indexed document.
Cited Answers
Every response includes source citations so teams can verify answers and trust what they ship.
RAG Knowledge Base
Upload, chunk, embed, and index documents into a private vector knowledge base for your tenant.
Multi-Tenant Security
Tenant-scoped data access keeps company knowledge isolated with role-based admin and employee controls.
Fast Document Indexing
Background processing extracts, chunks, and embeds files so knowledge is searchable within minutes.
Document ingest pipeline
Upload PDF, DOCX, and XLSX files. Background workers extract text, chunk content, generate embeddings, and mark documents indexed for search.
Cited AI responses
Chat completions stream answers with citation metadata so employees can open the source passage and verify every claim.
Tenant-scoped retrieval
Vector search and chat are filtered by tenant. Company knowledge stays isolated with role-based admin and employee access.
Ready to put your documents to work?
Request a demo and see AI document chat with citations on your own content.