IdentityRAG

Customer data search, unification and retrieval for LLMs

Build LLM chat bots based on your customer data scattered across multiple internal source systems, such as databases and CRMs. Tilores IdentityRAG retrieves unified customer data, which it uses to answer queries or as context when querying subsequent unstructured data.

DISCUSS YOUR USE CASE

or

BUILD IT YOURSELF

STEP 1 - use the LangChain integration on GitHub

STEP 2 - create a Tilores account and get your free API keys

STEP 3 - create an awesome IdentityRAG based LLM app.

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.

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.

Real-time Updates

Customer data updates in any source system are instantly available to your LLM application.

Quick & Scalable

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

Trusted by fast-growing, data-driven businesses

Get started with Tilores today

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