IdentityRAG
Data scientists connect Tilores to their LLM to search customer data scattered across multiple source systems. The LLM retrieves unified customer data, which it uses to answer queries or as context when querying subsequent unstructured data.
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LLMs face challenges in retrieving information from structured customer data, making it dificult to provide factually accurate responses.
These challenges arise due to scattered data sources, difficulties in finding customer data when search terms are not an exact match, and the complexity of unifying customer records.
Build dynamic customer profiles at query time, giving your LLM access to unified and accurate customer data in real-time
Rapid go-live with a LangChain integration & data connectors. Use managed & distributed infrastructure to scale customer data with your LLM.
FEATURES
Upgrade your LLM's performance by using realtime fuzzy search that handles misspellings and inaccuracies, for accurate, relevant, and unified customer data responses.
FEATURES
Unify scattered customer data from different source systems using fuzzy matching, even when attributes aren’t identical. Each unified customer record can hold hundreds of connected records, which can be queried by your LLM.
The API to unify scattered customer data in real-time.
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