All Technologies
LangChain
Orchestration glue, used where it earns its complexity.
LangChain shows up in our stack for orchestrating multi-step LLM workflows where the abstraction genuinely saves work — chaining retrieval, tool calls, and generation. We do not reach for it by default; plenty of LLM features are simpler and more debuggable as direct API calls without a framework in between.
Where we use it
- Multi-step retrieval and generation pipelines
- Agent workflows that chain tool calls together
- Rapid prototyping before deciding whether the abstraction is worth keeping in production
Relevant services
Real work
AI · Analytics
DataPulse
Natural-language analytics for revenue teams. Ask questions in plain English, get governed dashboards and forecasts in seconds.
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