DocuBot.AI

DocuBot.AI sdk – Instantly chat with any document, anywhere.

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Inspiration

Modern websites often fail to answer customer questions hidden in lengthy manuals, FAQs, or policy documents. We wanted to create a frictionless, intelligent way for users to simply "ask" their documents questions and get instant answers — without support tickets, page digging, or slow chatbots. Businesses need smarter ways to scale support, and DocuBot.AI delivers just that.

What it does

DocuBot.AI is a serverless AI assistant that allows users to:

  • Upload PDFs, DOCX, or text documents
  • Instantly chat with those documents using natural language
  • Embed a floating chat widget (like Intercom) on any site with one line of JS
  • Leverage the power of Amazon Bedrock to summarize, answer, and explain
  • All powered by AWS Lambda, API Gateway, and S3 — with no infrastructure to manage

How we built it

We built DocuBot.AI as a fully serverless, production-ready app using:

  • AWS Lambda for backend compute
  • API Gateway to trigger chat + upload endpoints
  • Amazon S3 to temporarily store uploaded documents
  • Amazon Bedrock (Claude) to generate natural language responses
  • React + TailwindCSS for a stunning, mobile-friendly frontend
  • Custom JS SDK to allow any developer to embed the chatbot in one line
  • Bundler: Rollup to create a lightweight, installable docubot-sdk.js

The architecture is stateless, scalable, and lightning-fast — ideal for real-world business use.

Challenges we ran into

  • Building a document Q&A experience that feels fast and conversational
  • Extracting high-quality content from complex PDFs in Lambda environments
  • Managing context limits and chunking for LLMs effectively
  • Creating an embeddable SDK that’s beautiful, isolated, and highly customizable
  • Minimizing cold-start Lambda latency for AI-driven workflows

Accomplishments that we're proud of

  • Deployed a full-stack AI doc chat solution in under a week — serverless!
  • Seamlessly integrated Claude via Bedrock for rich summarization and Q&A
  • Built an embeddable SDK widget that any site can use with zero backend
  • Delivered a blazing-fast user experience with clean UI/UX
  • Solved a real business problem using only 3 AWS services — Lambda, Bedrock, and S3

What we learned

  • How to design efficient AI pipelines using Lambda and Bedrock together
  • Best practices for embedding LLMs into real business workflows
  • How to handle secure, temporary file storage and cleanup in S3
  • The power of minimal, composable architecture when using serverless design
  • Tricks to optimize Lambda cold start and performance under load

What's next for DocuBot.AI

  • Add support for multi-file Q&A with document linking
  • Allow saving and exporting chat summaries or insights
  • Support for voice input and AI-generated answers via audio
  • Add Stripe-based billing for business users
  • Publish the SDK to NPM and make DocuBot embeddable in React Native apps
  • Launch an analytics dashboard for businesses to track what users ask

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