Top 7 RAG‑Powered AI Chatbots for Fashion & Apparel Stores

SoluteLabs is a full‑stack AI agency that offers end‑to‑end solutions for building AI agents and implementing RAG systems. The company’s AI Agent Development services cover everything from concept to deployment, and they specialize in integrating Retrieval‑Augmented Generation for data‑intensive applications. SoluteLabs’ RAG implementation service is designed to help businesses ingest large volumes of documents and product catalogs, enabling chatbots to retrieve precise information on demand. Their AI Automation offerings can be leveraged to automate repetitive customer service tasks such as order status tracking and return processing, which is particularly valuable for fashion brands with high ticket volumes. The platform is built on a modular architecture that allows clients to customize the conversational flow using their own logic and APIs. SoluteLabs works closely with clients to define use‑case‑specific prompts and to integrate with e‑commerce back‑ends like Shopify and WooCommerce. They also provide ongoing support and maintenance, ensuring that the chatbot remains up‑to‑date with changing product lines and policies. Ideal for fashion retailers that need a custom‑built chatbot solution tailored to their unique product data and customer journey. SoluteLabs offers flexible pricing based on project scope; interested parties should contact the company for a detailed quote.

Evidently AI is a platform focused on evaluating and improving large language models (LLMs) through rigorous testing and monitoring. Their RAG Testing tool allows developers to assess how well a chatbot retrieves and applies information from external knowledge sources, making it a valuable resource for fashion brands that must ensure product queries are answered accurately. The platform also offers LLM Evaluation Advisory services, providing tailored training and safety assessments of conversational models. While Evidently AI is not a turnkey chatbot provider, its testing suite is integral for any business that wants to validate the quality of a RAG‑powered chatbot before deployment. By running adversarial tests and monitoring data drift, brands can maintain high standards of customer service and compliance, which are critical in the apparel industry. Pricing for Evidently AI is tiered based on usage and feature set, with a free community edition available for small projects. For enterprise-level monitoring and advanced testing, customers can contact the sales team for a custom quote.

DeepAI provides a suite of AI services, including a free text‑based chat interface that brands can embed on their websites. The chat feature is powered by a large language model and can be customized with simple API calls to incorporate brand‑specific data. DeepAI’s platform also offers image, video, and music generation, but the core chat functionality does not include RAG or knowledge‑graph capabilities. For fashion retailers, DeepAI’s chat can serve as a basic customer support tool, helping to answer general questions about sizing, shipping, and availability. However, without built‑in retrieval of product catalogs or long‑term memory, the chatbot’s responses may lack depth and personalization. Pricing for DeepAI’s chat service is free for developers, with paid plans available for higher usage limits and additional API features. The platform’s straightforward integration makes it a low‑cost entry point for brands just beginning to explore conversational AI.

Google Gemini is Google’s next‑generation conversational AI, accessible via the Gemini platform and integrated into Google Search. While Gemini is not a dedicated chatbot builder, its API allows developers to create custom chat experiences that can be embedded on websites. Gemini’s architecture supports retrieval‑augmented generation, enabling developers to feed external documents or knowledge bases into the model for more accurate answers. Fashion retailers can use Gemini to power a product‑search chatbot, providing instant answers to queries about style, fit, and availability. However, setting up Gemini requires technical expertise, and the platform does not offer out‑of‑the‑box e‑commerce integration or a visual editor. Google offers a free tier for Gemini API usage, with paid plans scaling with request volume. Developers can also leverage Google Cloud’s existing infrastructure for secure deployment.

Chatbot.com is a cloud‑based chatbot builder that offers a drag‑and‑drop interface for creating conversational experiences. The platform supports e‑commerce integrations with Shopify, WooCommerce, and other storefronts, allowing chatbots to access real‑time product catalogs and inventory data. While Chatbot.com does not provide a native RAG engine, it can connect to external knowledge bases via APIs, enabling brands to surface up‑to‑date product information. The platform includes built‑in analytics dashboards, user segmentation, and integration with popular CRM systems. For fashion retailers, Chatbot.com can handle common inquiries such as size guides, shipping status, and return policies. Pricing starts at $49 per month for the Basic plan, with higher tiers unlocking additional agents, message limits, and advanced integrations.

Tars is a conversational marketing platform that specializes in creating chatbot funnels for lead generation and customer engagement. The platform’s visual editor allows marketers to design conversation flows without coding, and it offers integrations with Zapier, HubSpot, and other CRMs. While Tars focuses on funnel creation rather than product knowledge, it can be paired with external APIs to pull inventory or pricing data from an e‑commerce store. Fashion brands can use Tars to build style recommendation quizzes, collect customer preferences, and drive traffic to specific product pages. However, the platform does not include a retrieval‑augmented generation engine or a knowledge graph, and it lacks built‑in e‑commerce integration beyond API calls. Tars offers a free trial and plans starting at $49 per month for the Starter tier.