Since the release of ChatGPT in late November, there has been increased speculation about the potential impact that generative AI could have on our methods of acquiring knowledge, creating content, or conducting research. It also holds the potential to transform the workplace and redefine the skills needed for employees to excel.
Search is a crucial area where the application of generative AI emerges as a top priority, as it can drastically improve employee experience and efficiency.
In this blog, we will delve into various use cases and challenges of generative AI in enterprise search and how Kore.ai addresses these challenges with its newly introduced and powerful generative question-answering capability.
Challenges with Applying Generative AI for Company Use
Despite the hype around ChatGPT — and generative AI overall — there are major practical and technical challenges to overcome before these tools can be used for search scenarios at scale in an enterprise setting. Depending on their specific company and industry needs, enterprises have distinct requirements for data privacy, compliance, and security. With many questions remaining unanswered around the accuracy of generated content, traceability, and auditability of results, and potential hallucination issues, there are complications with applying generative AI for enterprise use.
Unlocking the Power of Generative AI to Transform Enterprise Search
Advanced large language models (LLMs) and generative AI have unlocked the potential of delivering better, more refined search experiences. However, in its current form, LLM output is not grounded and trustworthy enough for enterprise use and can sometimes generate responses based on flawed or biased information.
To address this, Kore.ai has come up with a solution, which integrates its search system and provides LLMs with credible information.
- Contextually Aware Enterprise Data: Enterprises models use proprietary data to ensure the content that LLMs generate is accurate, relevant, and business-specific information.
- LLM-Enabled Semantic Search: The Kore.ai Search Engine makes data integration from private sources easy with pre-built connectors. It works by using vector embeddings (numerical representations of words, phrases, sentences, or documents) to retrieve context using semantic search. This helps LLMs understand the meanings of words and their relationships and enhances the transformer model’s output at speed and scale. These enterprise-specific embedding models are then combined with traditional information retrieval methods and advanced personalization to create a hybrid system that elevates enterprise search capabilities.
- Flexible and Secure Search Experiences: Built-in enterprise-grade security, scalability, and extensibility, offer reliability for enterprise deployment. With flexible options like cloud and on-prem deployment, scalable architecture with high availability, roles management, and access control, and APIs and SDKs, make it simple, secure, and easy to configure, deploy and manage search assistants.
Generate Summarized Answers from Multiple Documents Leveraging LLMs
Kore.ai introduces generative AI question-answering capability, powered by Kore.ai’s powerful search technology, large language models, and generative AI.
The Kore.ai conversational search assistant leverages cutting-edge large language models (LLMs) and generative AI technologies to empower employees, customer support executives, and knowledge workers with the most accurate, well-summarized, and personalized answers to complex search queries from various unstructured knowledge documents within the enterprise in no time.
Utilizing LLMs and generative AI technologies, the conversational search assistant accurately understands the intent of user queries without needing any prior training and delivers better search relevance and contextually personalized search results with relevant source links, improving workplace efficiency by providing more comprehensive information on a topic.
Accurately Retrieve Information from Tables in Documents
Extracting data manually from unstructured data documents is time-consuming and prone to error. Kore.ai conversational search assistant uses deep learning algorithms to understand document layout, LLMs to comprehend complex table relationships, and Optical Character Recognition (OCR; makes documents editable and searchable) to extract text in bulk from PDF documents or images, reducing the risk of any error.
Use Cases of Generative AI-Enhanced Enterprise Search and Answers
Whether it is about searching for the right product information, finding the information around employee and HR policies, or supporting a customer — employees from new hires to company veterans benefit from powerful enterprise search and generative AI-powered answers.
- Employees can get answers to routine questions about travel expenses, reimbursement allowance or leave policy from the knowledge base at the click of a button.
- Customer support executives can accelerate resolution times with the most accurate and relevant results needed to resolve customer queries faster.
- Finance personnel can easily find and analyze revenue, profit, expense, and other financial details to make better-informed business decisions.
There are many more use cases within an enterprise, including compensation queries, payroll information, M&A-related FAQs, technical product specifications, contract related inquiries, where enterprise search and answers can be helpful.
Ready to Supercharge Search with Generative AI?
Generative AI is undoubtedly powerful. While there are a few limitations and concerns surrounding generative AI, it has immense potential for revolutionizing enterprise search by applying suitable models in a secure, scalable, and responsible way.
Kore.ai has reimagined the search experience by harnessing the power of generative AI. Learn more about Kore.ai SearchAssist, a generative-AI powered intelligent search assistant that delivers better search relevance, more comprehensive and complete answers, and contextually personalized search results at a scale that maximizes employee productivity and enhances the experience.
Ready to build and deliver a generative AI-powered search experience for your enterprise? Search no further – contact our knowledge search experts today for any of your enterprise search requirements or queries.
