Curiosity
Diagram showing two parallel data pipelines converging on a central node labeled 'Graph + Index'.

How it fits together

Two flows. One platform.


Ingestion flow (your connector runs this):

Source  →  Connector  →  Graph commit
                              ↓
                         Parsers (text extraction)
                              ↓
                         NLP pipelines (entities · embeddings)
                              ↓
                         Search indexes (text + vector)

Query flow (every search or AI call runs this):

User request  →  Gateway (auth + ReBAC)
                      ↓
               Search engine  ←→  Graph engine
                      ↓
               Ranked results  →  (optional) LLM  →  Answer + citations

The two flows are independent. Ingestion is background. Query is synchronous and low-latency. You never trigger the pipeline manually — commit data, wait a few seconds, it's searchable.

Architecture and data flow