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Chatguru: open-source AI shopping assistant

Transform your catalog into a revenue-driving conversation

Explore on GitHub

A smarter way to drive product discovery

Traditional e-commerce relies on filters, search bars, and static recommendation blocks.

But customers don’t think in filters. They think in questions:

  • “What’s the best option for small apartments?”
  • “I need something durable but lightweight.”
  • “What’s similar to this, but cheaper?”

Chatguru transforms your catalog into a conversational shopping experience — powered by AI and grounded in your real product data.

Everything you need to turn product discovery into revenue

Chatguru transforms your catalog into a guided buying experience — helping you reduce friction and scale discovery.

Smarter product discovery

Help customers navigate large or complex catalogs using natural language instead of rigid filters.

Lower support workload

Automatically handle repetitive product questions — freeing your support team to focus on high-value interactions.

Higher conversion

Guide customers to the right products faster with tailored recommendations that shorten decision time.

More than a chatbot

Chatguru is built specifically for product-driven businesses — not as a generic AI chat overlay.

Grounded in your catalog
Recommendations are generated using semantic search directly from your product data.

Designed for branded experiences
Tone, behavior, and product scope are configurable to match your brand.

Built to scale with your catalog
As your product range expands, Chatguru helps customers navigate variety, attributes, and options.

Ready to integrate with your stack
The architecture is designed to evolve from product guidance to deeper system integrations.

testing AI agents-1
HP why netguru visual

Commerce-native AI foundation with full control

Chatguru gives commerce teams a controllable AI foundation for product discovery — without relying on black-box chatbot vendors.

What you get with Chatguru

Chatguru is a production-ready chatbot foundation designed for real commerce environments.

Enterprise-grade AI integration

Integration with Azure OpenAI enables configurable prompts and real-time responses built for reliability and scale. The architecture also supports deployment across other major cloud providers.

Catalog-grounded product search (RAG)

Semantic search retrieves relevant products directly from your catalog, ensuring responses are accurate and data-backed.

Observability and performance monitoring

Built-in tracing and monitoring provide visibility into performance, helping teams maintain quality and manage costs.

Structured testing and deployment workflow

A Dockerized backend with API testing and evaluation workflows supports stable, production-ready environments.

White-label ready architecture

Flexible configuration supports brand customization and deployment across multiple stores or environments.

We built a white-label AI assistant for commerce so brands can own their technology, control their data, and drive conversions on their terms.

Patryk Szczygło

R&D Lead

Who Chatguru is built for

Chatguru is designed for commerce teams that want to move beyond static search and generic chat overlays.

  1. Ecommerce brands

    Turns growing catalogs into guided buying experiences.

  2. Marketplaces

    Makes large inventories easier to navigate through conversation.

  3. B2B commerce platforms

    Supports complex purchasing decisions with structured product guidance.

What’s available today

Chatguru is ready to power conversational product discovery with:

  • AI-powered responses powered by OpenAI on Azure — deployable also across other major clouds
  • Catalog-grounded recommendations using semantic search (RAG)
  • Modular backend architecture built for scalability
  • Observability and tracing for performance monitoring
  • White-label configuration for branded deployments
  • Dockerized setup with structured testing workflows
lego figure 1

What it requires from your team

Your team connects it to your commerce ecosystem:

  • Access to structured product data (catalog, attributes, pricing, metadata)
  • Integration with your existing commerce platform or backend
  • Hosting environment for deployment (cloud or on-prem)
  • Technical resources for authentication and user-level integrations
  • Ongoing product data synchronization as your catalog evolves
Lego team

Still have questions?

Is Chatguru production-ready?

Yes. Chatguru includes a working backend for conversational product discovery, with Azure OpenAI as the default integration, catalog-grounded semantic search (RAG), observability, and Docker-based deployment.

Integration with authentication systems, commerce platforms, or transactional workflows depends on your existing stack and implementation scope..

How is this different from SaaS chatbot tools?

Many commerce chat tools operate as closed SaaS overlays. Chatguru is open-source and catalog-grounded by design, giving your team visibility, control, and flexibility within your existing stack — without vendor lock-in.

How does Chatguru ensure responses are accurate?

Chatguru uses semantic search to retrieve relevant products directly from your catalog before generating responses. This RAG-based approach reduces hallucinations and ensures recommendations are grounded in your real data.

Is customer data stored?

Chatguru does not require persistent storage of customer conversations by default. Data retention and storage policies depend on your deployment configuration and compliance requirements.
HP why netguru visual

Start building conversational commerce

Explore the code and see how Chatguru can power your next commerce experience
Explore on Github