Simplify Product Data Management
Managing large product catalogs can be overwhelming. Rag Products uses AI to turn your data into actionable insights, making indexing, searching, and utilizing product information seamless and efficient.
- RAG Products revolutionizes product data management with AI-powered search, personalized recommendations, and an intelligent chatbot. Our solution enhances customer experience, boosts conversions, and seamlessly integrates into any website, app, or digital platform. Make your product catalog smarter, more accessible, and performance-driven with RAG Products.
RAG Products
Ready to experience the future of product data management?
Improved Search & Discovery
Help your customers find exactly what they're looking for, faster.
Personalized Recommendations
Boost sales by offering tailored product suggestions based on user behavior.
Enhanced Customer Engagement
Provide instant answers to product-related questions with an AI chatbot.
Effortless Integration
Our API is designed for easy integration with existing systems via JWT authentication.
Scalable & Efficient
Handle millions of products and complex data structures without performance bottlenecks.
Turn Your Product Data
into a Competitive Advantage with AI
Smarter Searches and Recommendations
Our system handles complex product structures, including variants and groupings, ensuring no detail is lost. By understanding the semantic meaning of your data, we provide smarter searches and recommendations.
Gain a Competitive Edge with AI
Stay ahead in a fast-moving market with AI-driven catalog management. RAG Products helps you enhance product discovery, boost sales, and improve customer interactions effortlessly.
Features
AI-Powered Product Chatbot
Instant Answers, Superior Customer Support with Our AI Chatbot
Empower your customers to explore your product range with our AI-driven chatbot. Using advanced Retrieval-Augmented Generation (RAG) techniques, the chatbot provides instant, accurate answers to product inquiries, pulling information directly from your indexed data.
Benefits:
24/7 Availability: Offer support around the clock, boosting customer satisfaction.
Reduced Support Costs: Handle common queries automatically, freeing up your team.
Improved Customer Experience: Give customers immediate information, increasing engagement.
Consistent Information: Ensure answers are based on the most up-to-date product data.
Our chatbot is seamless to integrate with your website or platforms, making it effortless to offer a more advanced customer experience.
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Semantic Product Similarity API
Unlock Hidden Connections with Semantic Product Search
Go beyond basic keyword searches. Our API uses the power of semantic analysis to find products that are truly similar to your customers' interests. Give your visitors a more relevant and personalized product exploration experience.
Benefits:
Enhanced Discoverability: Help customers find relevant products they might have missed.
Improved Cross-Selling: Recommend similar items that lead to increased sales.
Personalized Product Discovery: Provide a search experience that feels tailored to each user.
This API is a game changer for ecommerce, creating a better experience for your customers and driving revenue.
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User-Behavior Based Recommendations API
Predict User Needs and Drive Sales with Behavioral AI
Our AI engine analyzes user interactions to deliver intelligent product recommendations. Based on the products customers have viewed or purchased, our API surfaces related items that are highly likely to be of interest.
Benefits:
Increased Sales Conversions: Promote products that users are most likely to purchase.
Improved User Engagement: Keep users exploring your catalog by recommending relevant items.
Personalized Shopping Experience: Tailor your offerings to individual customer preferences.
Integrating user behavior into recommendations is key to higher conversion rates and more sales.
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How it Works?
AI Made Simple: How Our System Works For You
We take your product data and make it smart. Our system works like this:
Data Ingestion: You provide us with your product information through our secure API.
AI Processing: Our powerful AI analyzes the data, understands each product, and creates a “semantic fingerprint.”
Vector Storage: These fingerprints are stored in a special database for fast and efficient access.
Smart Features: The system powers the chatbot, semantic search, and personalized recommendations that provide smart insights.
The best part? We keep your information updated on a regular basis by re-indexing only new, removed or changed products, avoiding unnecessary re-indexing of all your products. It’s like giving your products a brain!
Deep Dive: API, Architecture, and Indexing Process
Our system uses a REST API with JWT authentication for seamless data ingestion. Here’s a technical overview:
Data Format: Product data can be provided as structured JSON objects, adhering to our defined schema, containing details such as SKU, manufacturer, category, description, names, attributes, and image URLs. The schema can be expanded for more complex usage. We provide both formatted and unformatted ways of providing product data.
Data Structure: We handle complex hierarchical product data, including grouped products with variants, with the ProductDocument class.
Indexing: We use Qdrant, a rust vector database to embed our data efficiently, creating a vector representation of each product and its variants to capture semantic meaning. The documents generated avoid large documents with the risk of the “lost in the middle” problem.
Efficient Updates: Incremental indexing is performed using a change-data-capture (CDC) approach, ensuring only updated or new products are indexed, minimizing API usage and time consumption.
Asyncronous Indexing: Indexing processes are performed asynchronously with task queues (Celery Python), making indexing more reliable and allowing clients to track progress.
API Integration: Our APIs are built to be compatible with OpenAI and Cohere, and we are working to add compatibility with Anthropic. We provide endpoints for chatbot, semantic search, and user-behavior-based recommendations, returning results in JSON format.
Security: Secure, JWT authenticated access to our API.
Please refer to our API documentation for detailed specifications and endpoints.
Why RAG Products?
RAG: Revolutionizing Product Discovery and Customer Support
In today's competitive market, generic search and static product descriptions aren't enough. Retrieval-Augmented Generation (RAG) combines the power of search with AI-driven text generation to provide more accurate and contextually relevant results.
Benefits for E-commerce & Manufacturers:
Precision: RAG ensures your chatbot and search features respond with the most precise and pertinent product information available.
Engagement: Customers receive detailed and helpful answers, increasing their engagement and time on site.
Trust: RAG responses are based on your product data, ensuring high accuracy and builds customer trust.
By leveraging RAG, you create a superior experience that drives sales, improves customer satisfaction, and increases brand loyalty.
interesting and relevant to your audience
Go Beyond Keywords: Powering Smarter Recommendations
Semantic search and recommendations provide a deeper understanding of your products and customer needs. Instead of relying on exact keyword matches, our system understands the meaning behind words, allowing for more relevant recommendations.
Benefits for E-commerce & Manufacturers:
Improved Product Discovery: Customers find what they truly want, even if they don't know the exact terms.
Increased Conversions: More relevant recommendations lead to higher sales conversions.
Personalized Experience: Customers feel understood and appreciated.
Embrace the power of semantic analysis to elevate your product strategy and get real benefits.
Vector Databases: The Engine Behind Our AI
Our system relies on the power of vector databases, a next-generation data storage solution designed for AI applications. Vector databases efficiently store and process high-dimensional vector embeddings that represent the meaning of your product data.
Why Vector Databases are Crucial:
Fast & Efficient Search: Vector databases allow for extremely fast and scalable searches for similar product embeddings.
Semantic Understanding: They enable AI to truly understand the meaning of your product data instead of relying on exact keyword matches.
Contextual Awareness: Vector databases enable AI to maintain the context of grouped products, providing a holistic and accurate view.
Scalability: Vector databases are capable of handling millions of products with complex data relationships without performance bottlenecks.
We utilize Qdrant, a high-performance vector database built in Rust, to deliver unparalleled speed, efficiency, and accuracy in our AI product analysis.
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