01 · RAG & Knowledge AI

RAG-Powered AI Chatbot. Your knowledge, available 24/7.

A ChatGPT-style assistant trained on your business content. Self-hosted vector database means your data never leaves your infrastructure. Includes an admin panel to manage knowledge live and automated email recaps to your team.

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Your Brand Assistant

Online · Trained on your docs

Customer · 2:14am

Do you ship internationally? Need it in Berlin by Friday.

AI · instant

Yes — we ship to Germany within 3 business days via DHL Express. Ordering before 2pm IST today should land in Berlin by Friday. Want me to check stock for a specific item?

Sources: shipping.pdf, faqs.md ↗ logged

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The Challenge

Customers asking the same questions, after hours, with no one to answer.
Support team buried in repetitive tickets that the FAQ should handle.
No visibility into what customers actually ask — or where the gaps are.

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Our Solution

ChatGPT-style chat interface, branded to your site or embedded as a widget.
Self-hosted vector database — your data never leaves your stack.
Ingests websites, PDFs, DOCX, PPT, and Markdown files automatically.
Admin panel to add, remove, or toggle knowledge sources live, no redeploy.
Auto-crawls your website on a schedule and re-indexes new pages.

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Value Delivered

24/7 instant answers without paying for round-the-clock support staff.
Daily email recap: what customers asked, what got answered, what didn't.
Full visibility into customer intent and your knowledge-base gaps.

Stack

Production-grade infrastructure, all yours.

We pick the best-fit components from this stack based on your data volume, latency needs, and privacy requirements.

LLM: GPT / Claude / Llama Vector: Pinecone · Weaviate · Qdrant Framework: LangChain · LlamaIndex Embeddings: OpenAI · Voyage · BGE Backend: Python · FastAPI · Node.js Deploy: AWS · Azure · GCP · On-Prem

02 · See It Live

A working example. In production today.

ClinicalTrac AI Assistant is a RAG chatbot we built for a US healthcare client. Try it — no sign-up.

Live demo

Healthcare · RAG · OpenAI

ClinicalTrac AI Assistant

Healthcare knowledge assistant grounded in real clinical documentation. Returns sourced answers, sends daily query recaps via email to the care team.

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03 · Frequently Asked

Questions buyers ask before they sign.

What is a RAG chatbot?

RAG (Retrieval-Augmented Generation) is an AI technique where the chatbot retrieves relevant information from your business documents before generating an answer. This grounds the response in your actual content, dramatically reducing hallucination and ensuring brand-accurate replies.

Where is the customer data stored?

Your data stays in a self-hosted vector database that you own. We can deploy on your AWS, Azure, GCP, or on-premise servers. No data is sent to external APIs unless you explicitly choose to use a third-party LLM provider.

What content formats can the chatbot learn from?

Websites (auto-crawled), PDFs, Word documents, PowerPoint files, Markdown, plain text, FAQs, and database content. Content can be added or removed via an admin panel without redeploying the bot.

How long does it take to deploy?

A working prototype is typically ready in 2 weeks. A production-grade deployment with admin panel and integrations is usually 4 to 6 weeks.

Can the chatbot escalate to a human agent?

Yes. When the AI can't answer confidently or detects high-intent queries (sales-qualified leads, complaints, billing issues), it can hand off to your support team via email, Slack, your CRM, or live chat.

04 · Related Capabilities

More AI we ship.

Start a Project

Bring us your knowledge base.

Tell us where your business knowledge lives today — Notion, Confluence, PDFs, an old WordPress site, sticky notes — and we'll tell you what it takes to make it answer your customers automatically.

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