iBoomto AI
Freemium
Office workers handling multiple documents daily
Site search fails the moment someone phrases a question differently than your doc headers — which is most of the time. Docubix replaces that lookup-and-hope loop with a cited-answer assistant built on top of your own uploaded documents.
$79/month · Free tier: 1 knowledge base, up to 20 documents, 100 queries/month, 0.25 GB storage · Checked Oct 20, 2026
The core workflow is upload, configure, integrate: drop in PDFs, DOCX, TXT, or Markdown files, write a system prompt, tune retrieval settings, and call a single REST endpoint from your app. Every answer surfaces the exact document and page it pulled from, so users can verify rather than trust. The free tier caps at one knowledge base, 20 documents, and 100 queries per month — enough to validate a use case, not enough to run a real support operation. Teams that outgrow those limits move to the paid tier, and teams that need multiple knowledge bases on free hit that wall immediately. There is no self-hosted option, so your documents live on Docubix infrastructure regardless of your compliance posture.
Bottom line: Pick Docubix to ship a cited-answer assistant over your help center docs in an afternoon — but if your legal team requires on-premises deployment or you need more than one knowledge base without paying, you are looking at a different architecture from day one.
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Find your fit
More options in Document Q&A / PDF Chat. Compare pricing, platforms, and features side by side.
Freemium
Office workers handling multiple documents daily
Freemium
Small teams handling contracts and forms
Docubix is a hosted RAG platform that turns uploaded document collections into a queryable chat assistant with citations on every answer. The workflow has three steps: upload files (PDF, DOCX, TXT, Markdown), configure a system prompt and retrieval settings through the dashboard, then call the REST API from any application. The vendor states that chunking, embedding, and indexing happen automatically after upload, with no ML experience required to get a working assistant. Streaming responses are supported, so answers render token-by-token rather than arriving as a single delayed payload.
The differentiating feature is mandatory citations. Unlike generic chat completions that synthesize an answer and leave you guessing about the source, every Docubix response links back to the specific document and page or section the content came from. For support and onboarding use cases — where a wrong answer has a real cost — this auditability is the functional difference between a demo and something you can put in front of customers or new hires.
Docubix fits teams that need to ship a document-backed assistant quickly and do not require on-premises infrastructure. The API surface is intentionally narrow: one endpoint handles chat, history, and search, which means integration is fast but customization past that contract requires building on top rather than inside. The free tier restricts usage to one knowledge base, 20 documents, and 100 queries per month — adequate for a proof of concept, not for a production support channel. Teams running multiple products, each needing a separate assistant, will exhaust free-tier limits immediately and face a binary choice: pay or rebuild elsewhere. There is no self-hosted option documented on the vendor site, which is a hard stop for teams with data-residency requirements.
The REST API accepts an API key and a message string and returns an answer with citations in a single JSON payload. The vendor’s code example shows a fetch call any JavaScript or Python environment can replicate in minutes. Analytics surface query patterns and document citation frequency, giving content teams signal on where documentation gaps cause the assistant to fall short.
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