Rewriting the Rules of How You Search
RAG-enhanced search
Our RAG-Enhanced Search system combines powerful retrieval models with generative AI to provide accurate, context-aware results. This means your users find what they need faster, stay satisfied, and convert more often.
Why you need RAG
Key benefits
Precision in Search Results
Combine retrieval and generation to deliver contextually accurate search results that truly match user intent.
Next-Level User Experience
Make searching seamless and frustration-free, improving overall satisfaction.
Drive Engagement and Conversions
Relevant results lead to happier users who are more likely to convert and come back.
Turn search into meaningful experience
Achieve better business outcomes
With RAG technology, your search results are smarter and more relevant — keeping your users happy and driving sales.
30%
increase in search accuracy
20%
boost in conversation rates
30%
higher customer satisfaction
What you get
Our proven expertise
Ensure your search experience isn’t just better — it’s smarter.
RAG-Powered Search Solutions
We’ve implemented RAG systems for e-commerce clients to enhance search relevance.
Tangible Results
Achieved a 30% increase in search accuracy and a 20% boost in conversions.
Satisfied Users
Improved search functionality directly led to higher customer satisfaction and engagement.
collaboration models
Test or invest
Try out the feature on a smaller scale before you commit, or implement the full feature from the get-go.
Basic Version
Ideal for testing out the waters and smaller functions. Think of it as MVP.
- Quick implementation (2-4 weeks)
- Core functionality optimization
- Perfect for testing and validation
- Built on proven frameworks
- Minimal dependencies
Advanced Version
If you’re ready to experience the full power an AI feature.
- Full-feature implementation (6-12 weeks)
- Custom-trained models
- Deep integration capabilities
Success stories
Using Chatbots to Streamline Diagnostics Data Acquisition in Healthcare
Problem Our client, a healthcare company providing home care to patients, faced a challenge in acquiring diagnostics information from patients upfront. This process was cumbersome and time-consuming, leading to delays in providing effective care. The specific pain points included the need for a friendly interface with predefined questions (pathways) to walk patients through the diagnostics […]
Semantic Search Via Embeddings And ChatGPT
Introduction In the digital age, users are inundated with information, making it essential for platforms to provide efficient search capabilities. A cooking recipe website with an extensive collection of 100k recipes sought to improve the discoverability of its content. By harnessing the power of semantic search, the goal was to enhance user experience, making it […]
Image Processing For Healthcare Industry
Using a machine learning model with image processing and deep learning to classify embryos into groups for better pregnancy success prediction.
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