Build an AI Chatbot with Knowledge Base

Upload your docs. The AI answers questions grounded in your content, with citations. Skip Intercom Fin's $0.99 per resolution.

Get started for free, no credit card needed.
$0
Saved per 1,000 chats vs Intercom Fin
0h
Chat UI + RAG + ingestion wired
0%
Citations on every answer
0
Vendor model lock-in (swap providers)

01 / What you get

AI Chatbot with Knowledge Base, generated.

Click Generate from the box above. Real Next.js code, a real database, real integrations, not a sandbox. Each piece below ships in the first prompt.

01

Streaming chat UI with markdown rendering and code-block syntax highlighting

02

Knowledge base ingestion: upload PDFs, paste text, crawl URLs, all chunked and embedded

03

RAG retrieval: every answer cites the source documents it pulled from

04

OpenAI or Anthropic backend, swap models without changing the UI

05

Conversation history per user, searchable, exportable

06

Token usage tracking per conversation so you can audit cost per user

02 / Variants

4 variants you can ship.

01
Customer support bot
Docs-grounded, ticket creation if it can't answer, multi-language, escalation rules.
02
Sales assistant
Catalog and pricing-aware, lead capture mid-conversation, demo-booking handoff.
03
Internal HR / IT bot
Employee Q&A on policies, IT troubleshooting, SSO-aware so it's on the right account.
04
In-product docs assistant
Embedded in your app, context-aware of which page the user is on.

Pixel-perfect control

The AI builds it. Then you shape every pixel.

Type

Tune every letter

Font, size, weight, leading and spacing, all by hand.

Tune every letter
Content

Wire up real data

Collections and CMS that feed your live pages.

Wire up real data
Color

Pick any color

Pick any color
Components

Reuse your own blocks

Save any section and drop it in anywhere.

Reuse your own blocks
Images

Drop in photos

Pull in free imagery without leaving the canvas.

Drop in photos
Pages

Structure your site

Structure your site

03 / Who it's for

For people who hate $99-per-seat tools.

Support teams replacing tier-1 with a bot trained on their docs
SaaS companies building "ask the docs" search inside their product
Agencies offering chatbot setups to clients as a service
Founders who need a docs assistant before they have a support team

Integrations

Works with the tools you already use.

Payments, database, AI, email and analytics, wired up the moment you connect.

Stripe
Supabase
OpenAI
Anthropic
Resend
PostHog
Sentry
Google Analytics
MongoDB
GitHub

04 / Why generate it

Why generate it instead of buying it.

Intercom Fin charges $0.99 per resolution. At 1,000 questions a month that's $12,000 a year and you don't own the conversations or the model choice.

You pick the model (Claude, GPT, open-weight via Ollama later), the embeddings (OpenAI, Cohere, local), and the vector store (pgvector, Pinecone). When prices drop or a better model ships, you swap one line.

Head-to-heads: vs Lovable · vs Bolt · vs v0 · vs Replit

FAQ

Questions about AI Chatbot with Knowledge Base.

Everything you need to know before you generate it. Anything else, our team is one email away.

Upload PDFs or paste URLs into an admin page (Webtwizz scaffolds the form). The AI scaffolds a route that fetches/parses the content, chunks it into ~500-token segments with overlap, and stores embeddings in pgvector (Postgres extension via Supabase). Re-ingestion is incremental, only changed docs re-embed.

RAG is right for almost everyone. Fine-tuning is expensive, slow, and brittle when your docs update. RAG retrieves fresh context per query, which is why the answer can include "this changed last week" without retraining. Keep prompt engineering tight: instruct the model to refuse if retrieval is empty.

Yes. The AI scaffolds citations inline, each answer ends with a "Sources:" block listing the doc titles and URLs the model pulled from. Clicking a citation deep-links to the source. Trust signal users actually look at.

Roughly $0.01-$0.05 per conversation on Claude Haiku or GPT-4o-mini for typical Q&A length. Embeddings are ~$0.0001 per chunk, one-time at ingestion. So a 100-page doc set costs cents to embed; 1,000 user conversations a month costs $10-$50 in API spend. Compare to $990 per 1,000 resolutions on Intercom Fin.

Yes. Webtwizz scaffolds an embed snippet (a script tag + iframe) that renders the chat in any website. Auth is optional, anonymous users get a session ID; logged-in users get history attached to their account.

Start building

Your idea, live in minutes.

Describe what you want. WebTwizz builds the real thing, then you click to change anything. No code needed.

Get started for free, no credit card needed.