Embeddable RAG

DoxProAI Assistant

Embed a RAG assistant. Answers from your docs — with a source.

One CDN script for your product. The secret key stays in the console.

How it works

Live in two steps

Create a workspace, upload knowledge, drop one script. Answers stay on your docs.

  1. 01

    Create a workspace

    Upload docs. Get a public key for the page. The secret key stays in admin.

    • Free signup · 1M tokens for new members
    • FAQs, policies, and product docs
    • Public key on the page · secret in console
  2. 02

    Embed on your product

    One CDN script. Users ask in chat. Answers come only from your docs, with a source.

    • HTML, React, Vite, or Next.js
    • Cited answers from uploaded knowledge
    • Same widget UI as the preview above

Capabilities

Built for product support

Grounded answers from your knowledge — not the open web.

RAG on your knowledge

Not a general chatbot. Replies stay on the docs you uploaded — FAQs, policies, product specs.

  • Hybrid retrieval (vector + BM25)
  • Answers tied to your workspace only
  • No open-web invention

Embeddable support chat

Branded streaming chat with Markdown and a citation chip on every answer.

  • One script to go live
  • Source on every reply
  • 1M tokens free for new members

For teams

Ship branded RAG support

Your knowledge, your product, production-ready infrastructure.

What we build

  • Customer & product support
  • Embeddable SDK for any platform
  • White-label platforms

Hybrid RAG, cited answers, streaming chat, and deployment support — scoped to your product and timeline.

Start a conversation

mateshwari33@gmail.com

Share your use case — we’ll reply within 24 hours.

Docs

One script. Live in the product.

Public key on the page. Secret key stays in the org console.

Paste before the closing body tag on any static or vanilla JS page.

index.htmlhtml
<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="utf-8" />
    <title>My site</title>
  </head>
  <body>
    <!-- your page content -->

    <script
      src="https://www.interviewpro.info/embed/doxpro.js"
      data-public-key="pk_live_…"
      data-api-base="https://interviewpro-info-v2.vercel.app/api/doxpro/v1"
      async
    ></script>
  </body>
</html>