Tilores

Customer data search, unification and retrieval for LLMs

Paid(free trial) 482 Views Update:2024-10-11

What is Tilores ?

Data scientists connect Tilores to their LLM to search internal customer data scattered across multiple source systems. The LLM retrieves unified customer data, which is uses to answer queries or as context when querying subsequent unstructured data.

What is the usage scenario of Tilores ?

Data scientists can connect Tilores to their LLM to search for customer data that is scattered across multiple source systems.
The product is useful for building dynamic customer profiles at query time, allowing LLMs to access unified and accurate customer data in real-time.
It can be employed in scenarios where accurate responses are needed from structured customer data, especially when search terms may not match exactly.

What are the highlights of Tilores ?

Fuzzy Search: Enhances LLM performance by enabling real-time fuzzy search that accommodates misspellings and inaccuracies, ensuring accurate and relevant responses.
Data Unification: Unifies scattered customer data from different source systems using fuzzy matching, allowing for the creation of comprehensive customer records that can be queried by LLMs.
Rapid Retrieval: Facilitates quick access to structured customer data, improving the accuracy of responses generated by LLMs.
Quick & Scalable: Offers rapid go-live capabilities with LangChain integration and data connectors, utilizing managed and distributed infrastructure for scalability.