GoldenGraph overview

GoldenGraph builds an own-your-KG knowledge graph from text: text → LLM extraction → GoldenMatch entity resolution → a durable, bi-temporal store. Entity resolution is the differentiator. Duplicate surface forms across documents collapse into one durable entity — the step most GraphRAG frameworks do badly, because they treat resolution as string matching rather than as the entity-resolution problem it actually is.

from goldengraph import ingest, OpenAIClient
from goldengraph_native import _native as gg

store = gg.PyStore()                    # durable bi-temporal store
llm = OpenAIClient()                    # or any object with .complete(prompt) -> str
ingest("Acme Inc, founded by ...", store, at=1, llm=llm)

snapshot = store.snapshot()             # canonical JSON; persist + reopen later
view = store.as_of(valid_t=1, tx_t=1)   # bi-temporal slice -> queryable graph

The stages

Stage	Does
`extract(text, llm)`	Text to typed entities and relationships, via the LLM.
`resolve(...)`	Collapses duplicate surface forms using goldenmatch’s ER engine.
`ingest(...)`	Runs the whole path and writes into the store.

Bi-temporal by construction

The store records both valid time (when a fact was true in the world) and transaction time (when the graph learned it). as_of(valid_t, tx_t) returns the graph as it was believed at a point in time — which is what makes a KG auditable rather than merely current. A correction does not erase what the graph previously asserted; it adds a new transaction over the same valid-time span.

Relationship to goldenmatch-kg

GoldenGraph is a complete KG builder. GoldenMatch KG is the opposite shape: it drops goldenmatch’s resolution into someone else’s KG pipeline (neo4j-graphrag, LlamaIndex, Graphiti). Use GoldenGraph when you own the pipeline; use goldenmatch-kg when you are adopting one.

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Concepts

GoldenMatch

GoldenCheck

GoldenFlow

GoldenPipe

GoldenAnalysis

InferMap

GoldenGraph

GoldenMatch KG

GoldenSuite MCP

GoldenCheck types

Golden Suite

SQL extensions

Reference

Case studies

Research

The stages

Bi-temporal by construction

Relationship to goldenmatch-kg

​The stages

​Bi-temporal by construction

​Relationship to goldenmatch-kg

The stages

Bi-temporal by construction

Relationship to goldenmatch-kg