RetriCo

📄️ Quickstart

Get from zero to a working knowledge graph in under 5 minutes.

RetriCo is an end-to-end Graph RAG framework that turns unstructured text into a queryable knowledge graph. It covers the full lifecycle: text extraction, graph construction, knowledge modeling, and intelligent retrieval.

📄️ Building

This section covers how to construct a knowledge graph from text using RetriCo's build pipeline.

📄️ Databases

RetriCo supports three categories of databases: graph, vector, and relational. Each category has multiple backends that you can mix and match.

📄️ Retrieving

RetriCo provides multiple retrieval strategies to query your knowledge graph. Each strategy approaches the graph differently — you can use them individually or combine them with fusion.

📄️ Modeling

RetriCo provides two modeling capabilities that enrich your knowledge graph: community detection and knowledge graph embeddings.

📄️ CLI

RetriCo includes a command-line interface for building knowledge graphs, querying them, managing graph data, and more — without writing any Python code.

📄️ LLM Tool Use

RetriCo includes a tool-calling layer that lets an LLM query the knowledge graph via structured function calls. The LLM receives the graph schema as context, produces structured tool calls, and each call is translated into a parameterized Cypher query.