Use Cases
KooSearch can be used to quickly build enterprise-grade Retrieval-Augmented Generation (RAG) and AI search solutions. These solutions enhance efficiency in accessing private-domain knowledge, and by enabling Internet access, they enable an intelligent Q&A service to generate answers based on the latest public-domain knowledge from the Internet. KooSearch can power knowledge Q&A capabilities for a wide range of intelligent applications, such as intelligent customer service, virtual humans, digital employees, AI assistants, and AI search.
Enterprise-Grade RAG
There is a high fragmentation of knowledge, which can be attributed to the following factors: vast amounts of data from different domains, highly specialized, domain-specific knowledge, and disparate service systems storing documents in various formats (such as Word, PDF, Excel, PPT, and images). This fragmentation often results in inefficient knowledge management and access and low search accuracy. With the KooSearch Enterprise RAG solution, you can store all kinds of documents in a unified knowledge base to enable accurate knowledge search, and an LLM, with its reasoning capabilities, can organize and summarize the search results to generate reliable answers to user queries. (The answers contain links to the source documents.) Users can quickly and accurately find the knowledge they are looking for through a single-turn or multi-turn dialog with AI. Additionally, the RAG solution offers Internet access, allowing answers to be generated based on the latest public-domain knowledge from the Internet.
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