RAG for Structured Data

Customer data search, unification and retrieval for LLMs

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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Challenge

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.

Rapid retrieval of structured customer data

Accurate

Build dynamic customer profiles at query time, giving your LLM access to unified and accurate customer data in real-time

Quick & Scalable

Rapid go-live with a LangChain integration & data connectors. Use managed & distributed infrastructure to scale customer data with your LLM.

FEATURES

Fuzzy Search

Upgrade your LLM's performance by using realtime fuzzy search that handles misspellings and inaccuracies, for accurate, relevant, and unified customer data responses.

FEATURES

Data Unification

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.

Get started with Tilores today

The API to unify scattered customer data in real-time.