Deliver LangChain-powered data experiences with Cube.

How Cube and LangChain work together

With Cube’s semantic layer and LangChain, you can deliver AI- and LLM-powered data experiences that are based on context, consistent metrics, secured data, and snappy response times. Give users trusted insights through an seamless user experience with Cube and LangChain.

Power your data applications with LangChain and Cube

Headless = Customized

Decoupling BI from your front-end means orchestrating data modeling, access control, and caching once—while building presentation layers for any use case.

Easily tailor your
user experience.

Security + Governance

Reconfiguring data access control for every data app in your stack opens the door to inconsistencies and gaps. Centralize permissions upstream for uniform security.

Maintain ubiquitious
access control.

Performance + Reliability

Redundantly and directly querying your data source results in latency and unnecessary costs. Cube’s caching layer, pre-aggregations, and query queuing fix that.

Skip latency;
expect speed.

Step-by-step guides on using Cube with LangChain

See Cube in action

Interest piqued? Try Cube's semantic layer.

Related Use Cases

Check out Cube’s other Use Cases

Semantic Layer

Define metrics upstream to inform every app with the same data.