These articles reflect earlier stages of the Empthay Platform product and research.
Some of the tools, intregrations, and approaches described here are no longer in use, as our focus has evolved towards self-hosted, private, and sustainable AI infrastructure.
We keep these posts as part of our R&D journey, like a record of exploration, learning, and continous evolution.
For the latest developments and current approach, explore the Empathy Platform main blog.
Bridging generative AI with factual accuracy
The new Empathy.ai approach integrates Retrieval-Augmented Generation (RAG) with Fully Formatted Facts (FFF) to redefine AI-driven search accuracy. By delivering real-time, context-aware, and factually grounded responses, this innovation bridges the gap between creativity and reliability. Designed to handle complex queries with precision, it ensures data privacy, and aligns with individual intent.
Semantic search blindspots. Judgment, detection & correction
Dive into the intriguing world of semantic search and uncover the blindspots that can trip up even the most experienced merchants. Explore detailed insights and practical tips on how to detect and correct these blindspots, ensuring your shoppers have the best and most accurate search experience possible.
Enhancing merchant experiences with conversational AI in the Playboard
Explore how we've enhanced merchant experiences with a conversational AI chatbot integrated into the Empathy Platform Playboard. By leveraging our fine-tuned Mistral model, this innovation streamlines operations, provides immediate assistance, and ensures privacy. Discover the technology, key features, and our commitment to continuous innovation in this blog post.
Fine-tuning Mistral for an enhanced content search experience (IV). The UX perspective
Final part of the series that uncovers the UX strategies behind our enhanced AI content search experience. Learn how we integrated AI-driven contextual search with our contextual keyword functionality to create an intuitive, user-friendly interface that balances exploration and immediate response needs.
Fine-tuning Mistral for an enhanced content search experience (III). The infrastructure perspective
Part 3 of the series that explores the infrastructure that powers our advanced AI content search capabilities. This post details how we built a flexible, secure environment using AI gateways and open standards to support backend and frontend integration.
Fine-tuning Mistral for an enhanced content search experience (II). A backend perspective
Part 2 of the series that dives into the backend process of our AI-powered content search project. Learn how our team generated diverse datasets, standardized them, and fine-tuned a Mistral model to ensure accurate, relevant search results for our developer portal.
Fine-tuning Mistral for an enhanced content search experience (I). A comprehensive look
Part 1 of a series that comprehensively covers the journey to revolutionize our developer portal search, outlining a holistic approach based on AI innovation. This post highlights the overall strategy, emphasizing how generative AI and a commitment to privacy work together to create a seamless search experience.
AI search explainability with Play Vectors
Discover how Empathy.co is transforming commerce search with explainable AI (XAI). This post explores the challenges and benefits of XAI, highlighting how Empathy Platform's approach to AI transparency with Play Vectors fosters trust, improves shopping experiences, and empowers retailers to make data-driven decisions.