Docubix is a RAG (Retrieval-Augmented Generation) platform that enables users to upload documents (PDF, DOCX, TXT, Markdown), create dedicated knowledge bases, and deploy AI chat assistants with cited, context-aware answers. It handles document chunking, embeddings, and vector indexing automatically, delivering instant, source-backed responses via streaming and a REST API for seamless integration.
Key benefits include:
- Knowledge base management: Spin up separate assistants, vector indexes, and API keys for each project.
- Document uploads: Drag-and-drop support for PDFs, DOCX, TXT, and Markdown with automatic chunking and embeddings.
- Cited responses: Every answer links back to the exact document, page, or section for transparency and accuracy.
- Streaming responses: Tokens stream in real time for instant, natural answers without waiting for full submission.
- API access: One REST endpoint for chat, history, and search, enabling integration with custom apps or backends.
Perfect for developers, support teams, and organizations building product documentation, internal wikis, or customer support systems who need AI-powered chat assistants with cited, context-rich responses.
