Ride the LLM Wave with
SearchUnify
Make Large Language Models (LLMs) a core part of
your Customer Support Ecosystem with SearchUnify.
Crafting unparalleled self-service and support experiences in the digital age
Organizations are racing to adopt Large Language Models (LLMs), drawn by their potential to significantly enhance productivity. However, directly sending user queries to open-source LLMs can lead to hallucinated responses due to the generic datasets on which these models are trained.
This is where SearchUnify’s Federated Retrieval Augmented Generation (FRAGTM) approach revolutionizes LLM usage by integrating advanced capabilities with enterprise knowledge to ensure contextual, factual, and accurate responses.
Gathers information from across your entire knowledge base, providing a 360-degree view of your content for deeper contextual understanding. This enhances the effectiveness of your LLM integration, ensuring more precise and relevant insights for user queries.
Pinpoints the most relevant information using advanced algorithms, including keyword matching, semantic similarity, and deep learning techniques. This step bridges the gap between your organizational knowledge and LLM-integrated solutions, ensuring maximum accuracy.
Leverages the power of LLM to generate human-like responses based on the retrieved information. This ensures clarity, accuracy, and a seamless user experience across all SearchUnify LLM-integrated solutions, from chatbots to support portals.
Delivering precise, to-the-point responses to user queries, leveraging LLM integrations.
Elevating chatbot interactions with LLM-enhanced natural and intelligent conversations.
Automatically creating compelling and contextual titles for content, powered by LLM tools.
Summarizing cases for efficient support handling, using LLM-based insights.
Understanding and categorizing user intents to streamline support workflows with LLM-driven precision.
Analyzing customer sentiments with LLM-powered analytics to improve engagement strategies.
Extracting key entities from unstructured data using LLM integrations.
Building dynamic, LLM-driven visual representations of enterprise knowledge.
SearchUnify employs multi-layered security protocols to ensure sensitive information remains protected, even within the same organization. Our LLM integrations respect organizational privacy and governance standards.
Our bias-mitigation techniques, audit mechanisms, and robust engineering practices minimize bias in LLM-generated responses, fostering trust and reliability.
SearchUnify’s LLM tools excel in domain-specific contexts, eliminating common challenges tied to limited expertise by integrating domain knowledge into every layer.
We go beyond semantics to interpret real human emotions. This enhances our ability to manage diverse text and language complexities using LLM-driven intelligence.
Our LLM-powered solutions integrate seamlessly across multiple support channels, including web, chatbots, and voice assistants, ensuring consistent and effective user engagement.
Federated search with SearchUnify boosted our confidence in our knowledge base and online help center. Knowing our content would be easily accessible, we ramped up content creation by 44%. Consequently, customer complaints about self-service and documentation dropped by 24%.
Garrick Greenhalgh
MSHR, CSPO, Director of Global Technical Education and Community, Accela
With SearchUnify's AI, Bluebeam significantly enhanced our customer support, swiftly connecting them to needed resources. Improving our business is a core practice, and we're proud to be recognized for our collaboration with SearchUnify in achieving this.
Jim Atkinson
President and Chief Customer Officer, Bluebeam, Inc.
With the implementation of Knowbler, we've overcome the challenge of outdated content and significantly improved the quality and timeliness of our knowledge articles. The utilization of Odin prompts has streamlined the creation process, while the improved functionalities for support engineers have freed them to focus on more complex issues.
Sahana Parameswarappa
Senior Manager, Self-Service, Automation Anywhere.
Our FRAG™ framework ensures contextual accuracy by combining advanced retrieval methods with domain-specific expertise, security protocols, and access permissions.
Yes, SearchUnify’s LLM-integrated tools are designed for seamless implementation across various platforms and support channels, ensuring a unified customer support experience.
We employ multi-layered security measures, including access control and encryption, to safeguard your data while ensuring compliance with privacy standards.
SearchUnify’s LLM capabilities cater to diverse industries such as technology, healthcare, e-commerce, and education, addressing specific challenges like case deflection, knowledge management, and personalized support.
Our LLM-powered solutions use feedback loops and machine learning techniques to refine responses, adapt to new data, and stay aligned with evolving user needs and organizational goals.
![SearchUnify’s [F]RAG Approach - Enabling Context-aware, Personalized and Efficient Conversational AI Experiences](https://www.searchunify.com/wp-content/uploads/2023/08/searchunifys-frag-approach-enabling-context-aware-personalized-and-efficient-conversational-ai-experiences.jpg)
