Analytics & BI

Natural language queries. Real-time dashboards.

Your users ask questions in plain English. The agent queries, visualizes, and streams results — all inside your Angular app.

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The Problem

Why teams stall

BI tools users won't adopt

Complex dashboards with steep learning curves. Business users want answers, not another tool to learn.

Static reports, stale data

Pre-built dashboards can't answer ad-hoc questions. By the time a report is built, the question has changed.

Chat-only AI interfaces

Text answers aren't enough for data. Users need charts, tables, and interactive visualizations — streamed in real time.

The Architecture

Three libraries. One solution.

Three libraries turn your LangGraph agent into a conversational BI tool your business users will actually use.

Agent@ngaf/langgraph

Streams query results token-by-token as the LangGraph agent reasons over your data. Thread persistence means users can refine questions without re-running expensive queries.

Explore Agent →

Render@ngaf/render

The agent emits chart specs, data tables, and KPI cards as structured render specs. Your Angular components render them with streaming JSON patches — live-updating visualizations as data arrives.

Explore Render →

Chat@ngaf/chat

Pre-built generative UI panel renders charts and tables inline with the conversation. Users ask follow-up questions and see updated visualizations without leaving the chat.

Explore Chat →

The Results

What you can expect

10x

Faster time-to-insight vs. traditional BI dashboards

SQL required — business users query in plain English

<2s

First visual streamed — no waiting for full query completion

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or download directly

What's Inside

From Prototype
to Production

The Angular Agent Readiness Guide. Six chapters. Six production-readiness dimensions. What separates demos from shipped products.