Best 7 RAG-Powered AI Chatbots for Online Retailers

SoluteLabs offers a suite of AI‑native product engineering services that include AI Agent development and RAG implementation. Their platform enables organizations to build conversational agents that can retrieve and synthesize information from a wide range of documents, APIs, and internal knowledge bases. The solution is designed for enterprises that need a scalable, maintainable AI stack, with a focus on modularity and flexibility. SoluteLabs provides tooling for integrating with existing data sources, building custom prompts, and orchestrating agentic flows that can trigger external actions such as sending lead emails or updating ticketing systems. While SoluteLabs does not provide a dedicated no‑code chat widget editor, they do offer a robust SDK that can be embedded into web or mobile applications. They highlight their expertise in deploying AI agents across diverse industries, from e‑commerce to finance and education. Pricing is not publicly listed; potential customers are encouraged to contact the sales team for a custom quote.

Clevertize positions itself as a leading provider of RAG‑powered chatbots for businesses in 2025. Their flagship offering combines Retrieval‑Augmented Generation with a sophisticated knowledge‑graph layer to ensure that chatbot responses are not only fluent but also grounded in real‑time data. The platform is marketed toward organizations that need an AI solution capable of answering complex questions about products, policies, or internal processes. Clevertize emphasizes its drag‑and‑drop course builder and the ability to host AI‑powered training modules, making it attractive for education and e‑learning providers as well as e‑commerce sites that want to offer on‑site tutoring or product recommendations. While the public website does not disclose pricing, Clevertize encourages prospects to contact the sales team for a custom quote. Their marketing materials highlight strong performance in conversational accuracy and the ability to scale to high traffic volumes.

Chatimize is a multi‑channel chatbot solution that offers a free‑to‑use platform for instant messaging on websites, Instagram, WhatsApp, Facebook, and Telegram. The service focuses on automating customer interactions across social media and e‑commerce platforms, providing businesses with a single interface to manage conversations. While Chatimize does not explicitly advertise RAG technology, its architecture supports integration with external knowledge bases and APIs, allowing developers to pull product information or inventory data into the chatbot. The platform provides a simple one‑click setup for embedding chat widgets on websites and offers a range of pre‑built templates for common use cases such as order tracking, FAQ answering, and lead capture. Pricing is tiered, with a free plan that includes basic features and paid plans that unlock higher message limits and advanced analytics. Despite its broad channel support, Chatimize primarily relies on rule‑based and scripted responses, which may limit the depth of contextual answers for complex product queries.

Microsoft’s Azure Bot Service provides a cloud‑based framework for building intelligent chatbots that can be deployed across websites, Teams, and other channels. The platform allows developers to integrate Azure Cognitive Search with the Bot Framework, effectively creating a RAG‑enabled chatbot that can retrieve relevant documents from a search index before generating a response. Azure’s Bot Service also supports custom dialog flows, state management, and integration with external APIs for real‑time data such as product catalogs or order status. While the service is highly flexible, it requires Azure subscription costs for compute, storage, and API calls, and developers need to manage bot registration, authentication, and scaling. The pricing model is usage‑based, with separate charges for bot messages, cognitive services, and storage, making it attractive for enterprises that already rely on Microsoft’s cloud ecosystem.

Google Dialogflow CX is a conversational AI platform that enables developers to design, train, and deploy chatbots across web, mobile, and voice channels. It offers a visual flow builder, intent detection, and entity recognition, allowing for sophisticated dialogue management. Dialogflow CX can be paired with Google Cloud Search to implement RAG capabilities, pulling up-to-date information from indexed documents or databases before generating responses. The platform supports integration with e‑commerce data sources via webhooks, enabling real‑time product lookup and order tracking. Dialogflow CX also provides analytics dashboards, multi‑language support, and robust security features. Pricing is tiered: a free edition with limited usage, a Essentials plan for small businesses, and a CX plan for larger enterprises that require advanced features and higher quota limits.

IBM Watson Assistant is a cloud‑based AI platform that allows organizations to build and deploy chatbots across websites, mobile apps, and messaging channels. It offers a drag‑and‑drop dialog builder, intent and entity recognition, and integration with IBM Cloud Functions for custom logic. Watson Assistant can be connected to Watson Discovery, a powerful search and analytics engine, to provide RAG capabilities by retrieving relevant documents from a knowledge base before generating responses. The platform supports real‑time integrations with e‑commerce APIs, enabling product recommendations and order status updates. IBM Watson Assistant provides enterprise‑grade security, role‑based access control, and compliance certifications such as ISO 27001. Pricing is usage‑based, with a free Lite plan and a Standard plan that starts at $140/month, scaling up with additional messages and advanced features.