AI-powered customer support

AI Customer Support
Built on Production RAG

Your website visitors get instant, accurate answers grounded in your knowledge base — not hallucinated guesses. Set up in minutes, not months of engineering.

10-Minute SetupRAG-Grounded AnswersCancel Anytime

TalkToWebsite AI

Online now

AI
Hi! How can I help you today? 👋
Ask anything...

Live demo — watch AI handle real support scenarios

How It Works

Three tiers of AI intelligence

Use the most efficient option first, escalate only when needed.

62%

Instant Answers

Knowledge base lookup

Immediate responses from your knowledge base. Zero-cost, zero-latency for common questions.

28%

Pattern Matching

Smart AI routing

Smart AI that handles routine questions automatically. Answers in under 1 second, 24/7.

10%

Deep Reasoning

Advanced AI models

Advanced AI reasoning for your toughest questions. Only activated when truly needed.

The #1 Concern

What if AI gives wrong answers?

RAG-grounded answers

Every answer is grounded in your knowledge base via retrieval-augmented generation — not hallucinated from general training data.

Source attribution

Customers see exactly where each answer came from. Your team can verify any response in seconds.

Smart escalation

When AI isn't confident, it hands off to a human with full context — instead of guessing and embarrassing your brand.

RAG Engineering

Why we built our own RAG engine — so you don't have to

Building retrieval-augmented generation in-house is a serious engineering commitment. Your team would need to design document loaders, chunking strategies, embedding pipelines, vector storage, similarity search, incremental sync, and prompt construction — then maintain it as models and APIs evolve.

That typically means 3–6 months of senior engineering time before you ship a single grounded answer. We chose to invest that effort upfront so you get production-grade RAG on day one.

Chunk size

1,000 tokens

Overlap

150 tokens

Retrieval

Top-5 similarity

Threshold

0.75 confidence

Our RAG Pipeline

Knowledge Sources

PDF, TXT, URLs

Smart Chunking

1,000 tokens + overlap

Vector Embeddings

Gemini / OpenAI

Similarity Search

Top-K retrieval

Incremental Sync

Hash-based updates

Grounded Response

Source attribution

# Retrieval Configuration

TOP_K=5

SIMILARITY_THRESHOLD=0.75

# Powered by pgvector + LangChain

Up and running

Live in 4 simple steps

01

Paste your URL

AI crawls and indexes your docs, FAQs, and help articles automatically.

02

Set guardrails

Define tone, escalation rules, and what your AI can and cannot say.

03

One script tag

Add a single embed to your site. AI starts resolving instantly.

04

AI gets smarter

Knowledge updates propagate automatically. No retraining required.

One script tag. That's it.

<script
  src="https://your-domain.com/widget.js"
  data-theme="auto"
  data-position="bottom-right"
></script>

Features

Everything your team needs

AI Inbox

Every conversation in one place. AI auto-categorizes, prioritizes, and suggests responses.

Self-Learning Knowledge Base

Import docs, PDFs, and URLs. Semantic embeddings give accurate, sourced answers every time.

Actionable Analytics

Track resolution rates, response times, and AI accuracy. Spot knowledge gaps before they grow.

One Script Tag

Drop a single embed on your site. Your AI assistant goes live in minutes — no engineering sprint.

Security

Built with privacy at the core

Your knowledge base and conversations stay protected — encrypted, isolated, and never used to train models.

Your data stays yours

Your data is only accessible to your AI agent and is never used to train models.

Data encryption

All data is encrypted at rest and in transit. We use industry-standard encryption algorithms.

Secure integrations

Per-assistant API keys and tenant isolation ensure users can access only their own data in your systems.

Security First

Encrypted routes with per-widget API keys.

10 Minute Launch

From signup to embedded assistant in one coffee break.

Multilingual Ready

Shape behavior with prompts and localized knowledge.

Measurable Impact

Track conversations and response quality from the dashboard.

“We considered building RAG in-house. The estimate was 4 months and two senior engineers. TalkToWebsite gave us grounded AI support in a single afternoon.”

JM

James Miller

CTO, SaaS startup

Common Questions

Got questions? We've got answers.

Will the AI give wrong answers?

TalkToWebsite uses RAG-grounded resolution from your verified knowledge base. When confidence is low, it escalates to your team with full context.

How long does setup take?

Average team goes live in under 10 minutes. Paste your URL, let AI index your docs, and add one script tag.

Why not build RAG in-house?

A production RAG pipeline — chunking, embeddings, vector search, incremental sync, and prompt engineering — typically takes 3–6 months of senior engineering. We built it so you don't have to.

Can I customize the AI's responses?

Yes. Train on your docs, set tone of voice, customize greetings, and control how different question types are handled.

Is the chat data secure?

Encrypted at rest and in transit. Per-assistant API keys, authenticated management routes, and tenant-isolated data.

What integrations do you support?

Embed on any website, React Native app, or dashboard. API access and webhooks for custom integrations.

Skip months of RAG engineering

Start your free trial and launch AI support today

Production-grade RAG, source attribution, and smart escalation — without hiring a vector search team.

No credit card requiredSetup in 10 minutesRAG engine included