IdentityRAG
LLM tool for customer data search, unification, and retrieval
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- Real time fuzzy search: Handling spelling errors and inaccurate information to improve LLM performance.
- Data unification: By using fuzzy matching technology, customer data can be unified from different source systems even if the attributes are not exactly the same.
- Quickly retrieve structured customer data: build dynamic customer profiles and access unified and accurate customer data in real-time.
- Real time updates: Customer data updates from any source system can be reflected in the LLM application in real-time.
- Quick launch: With LangChain integration and data connectors, it can be quickly launched without maintenance.
- Scalability: Utilize management and distributed infrastructure to expand customer data based on LLM.
Product Details
Identity RAG is a tool for building LLM chatbots based on customer data, capable of retrieving unified customer data from multiple internal source systems such as databases and CRM. This product processes spelling errors and inaccurate information through real-time fuzzy search, providing accurate, relevant, and unified customer data responses. It supports fast retrieval of structured customer data, construction of dynamic customer profiles, and real-time updates of customer data, enabling LLM applications to access unified and accurate customer data. Identity RAG is trusted by rapidly growing, data-driven enterprises for its fast response, real-time data updates, and easy scalability.
