The Gitlab Knowledge Graph

by dinosaurse
Overview Gitlab Knowledge Graph
Overview Gitlab Knowledge Graph

Overview Gitlab Knowledge Graph Create structured, queryable representations of code repositories to power ai features and enhance developer productivity with the gitlab knowledge graph. The gitlab knowledge graph is a powerful system designed to create a queryable map of your code repositories and tie them to the gitlab sdlc. this structured data provides deep insights into your codebase, paving the way for advanced code analysis and ai driven features.

Server Side Knowledge Graph The Gitlab Handbook
Server Side Knowledge Graph The Gitlab Handbook

Server Side Knowledge Graph The Gitlab Handbook In the last one (18.4), a new tool, under active development, appeared in the gitlab ecosystem : gitlab knowledge graph (gkg). gkg gives you a graphic representation of your code. Gitlab knowledge graph is a powerful code analysis tool that creates a queryable map of your repositories. it enables deep codebase exploration, impact analysis, and ai driven code understanding through the model context protocol (mcp). The gitlab knowledge graph (orbit) is a rust service that builds a property graph from gitlab instance data (sdlc metadata and code structure) and exposes it through a json based cypher like dsl compiled to clickhouse sql. it provides a unified context api for ai systems (via mcp) and human users. This schema is intended to exposed to the llm for understanding the knowledge graph data model (ontology) and to help generate queries via the knowledge graph dsl (llm cypher json).

Exploring The Gitlab Knowledge Graph
Exploring The Gitlab Knowledge Graph

Exploring The Gitlab Knowledge Graph The gitlab knowledge graph (orbit) is a rust service that builds a property graph from gitlab instance data (sdlc metadata and code structure) and exposes it through a json based cypher like dsl compiled to clickhouse sql. it provides a unified context api for ai systems (via mcp) and human users. This schema is intended to exposed to the llm for understanding the knowledge graph data model (ontology) and to help generate queries via the knowledge graph dsl (llm cypher json). Discover how knowledge graphs provide context rich intelligence, powering ai and ml capabilities, and streamlining devsecops workflows. Before we start, let's talk about what the gitlab knowledge graph is. the knowledge graph is a framework written in rust to turn your code base in sdlc into a live embeddable graph. This video will introduce a “game changer” tool: gitlab knowledge graph (gkg). this is an mcp server that can index your entire codebase (and related projects) into a knowledge graph. The gitlab knowledge graph project aims to create a structured, queryable graph database from code repositories to power ai features and enhance developer productivity.

рџ ђ Exploring The Gitlab Knowledge Graph Dev Community
рџ ђ Exploring The Gitlab Knowledge Graph Dev Community

рџ ђ Exploring The Gitlab Knowledge Graph Dev Community Discover how knowledge graphs provide context rich intelligence, powering ai and ml capabilities, and streamlining devsecops workflows. Before we start, let's talk about what the gitlab knowledge graph is. the knowledge graph is a framework written in rust to turn your code base in sdlc into a live embeddable graph. This video will introduce a “game changer” tool: gitlab knowledge graph (gkg). this is an mcp server that can index your entire codebase (and related projects) into a knowledge graph. The gitlab knowledge graph project aims to create a structured, queryable graph database from code repositories to power ai features and enhance developer productivity.

рџ ђ Exploring The Gitlab Knowledge Graph Dev Community
рџ ђ Exploring The Gitlab Knowledge Graph Dev Community

рџ ђ Exploring The Gitlab Knowledge Graph Dev Community This video will introduce a “game changer” tool: gitlab knowledge graph (gkg). this is an mcp server that can index your entire codebase (and related projects) into a knowledge graph. The gitlab knowledge graph project aims to create a structured, queryable graph database from code repositories to power ai features and enhance developer productivity.

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