RAG Search delivers accurate, contextually relevant answers by combining real-time data retrieval with advanced computational responses. This powerful solution ensures you receive timely, precise information tailored to your specific queries, providing the confidence of data-driven insights that align with your goals.
In the retrieval phase, you start by submitting your question, setting the stage for a focused search. RAG Search takes your query and prepares to find the most relevant information.
The retrieved information is integrated with the user’s query. RAG Search taps into a vast pool of real-time data, blending it with advanced, generated insights.
The model takes the combined input, which includes both the user’s query and the retrieved data, to produce a coherent, informative, and context-aware response.
By concentrating on retrieving information from existing data, RAG reduces the necessity for extensive model training. This approach lowers development costs while still delivering high-quality output.
Delivering precise and context-aware results enhances customer satisfaction, reducing frustration from irrelevant or incomplete responses.
RAG adapts easily to large datasets and complex knowledge bases, making it a scalable solution as your project grows.
We’ve got your back! Our dedicated team of seasoned experts is perfectly matched to your project’s needs, ensuring you receive tailored support every step of the way.
RAG can retrieve detailed product information, reviews, and availability from a retailer’s database and then generate personalized shopping suggestions or support answers, improving the customer experience.
RAG Search in the fashion industry enables personalized product recommendations, trend forecasting, and faster product discovery by retrieving and augmenting relevant data for customers.
RAG can retrieve financial data, market trends, and company reports, and then generate in-depth analyses or recommendations for financial advisors and clients, ensuring more data-driven investment decisions.
RAG can pull data from various travel databases (flights, hotels, activities) and generate personalized travel recommendations or real-time booking options based on the user’s preferences and constraints.
Using the latest tools, we deliver optimal results and exceptional quality, maximizing efficiency for our clients.
“I’ve been really impressed with the Eclipse team throughout the project. The feedback from my colleagues has also been great and the Exec team are very impressed with the output.”
Lee Faetz / Assa Abloy, E-Commerce Director
“We think of this new concept format as the future of Halfords; one where customer experience is seamlessly, consistently and conveniently executed across all locations in a town, and we are delighted to unveil it in Colchester. Whether it’s a roof box for the next family holiday, a bike safety check or the annual MOT, these changes make it easier than ever to find product solutions, book services and access our expert colleagues to ultimately keep our customers on the move.”
Graham Stapleton / Halfords CEO