Vitali Avagyan
To build the future of codebase understanding by turning large, multi-language monorepos into AI-powered knowledge graphs.
At a Glance
- Software Development Teams
- Enterprise Engineering Organizations
- Open Source Contributors
AI Tools by Vitali Avagyan
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Code-Graph-RAG
Code Graph RAG for Codebases
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Latest News
Code-Graph-RAG now supports I/O and data-flow analysis for deep codebase tracing
Code-Graph-RAG scores high on the MCP Skills Index for AI tools
Code-Graph-RAG reaches 2,200+ stars on GitHub
Vitali Avagyan showcases Graph-Code (Code-Graph-RAG) in Memgraph community webinar
Products & Services
Free, open-source tool for parsing multi-language codebases into knowledge graphs for AI querying and editing.
Managed cloud-hosted version with priority support and SLA-backed response times.
Customized solution offering on-premise/air-gapped deployment, custom graph relationships, and integration consulting.
Market Position
Differentiates from standard RAG tools by using structural knowledge graphs (AST-based) rather than just vector embeddings, allowing for precise structural queries across polyglot codebases.
Leadership
Founders
Vitali Avagyan
PhD in Energy Economics and Optimisation from Imperial College London. Currently Member of Technical Staff at Anterior. Previously CTO at mymagic.ai and Research Associate at the University of Edinburgh. Expert in ML engineering and knowledge graphs.
Executive Team
Vitali Avagyan
Founder and Creator
AI Engineer and PhD researcher specialized in knowledge graphs and codebase intelligence. Member of Technical Staff at Anterior.
Founding Story
Born from the frustration of managing large, multi-language monorepos where understanding cross-service dependencies and ripple effects of changes was nearly impossible using traditional tools.
Business Model
Revenue Model
Open core model with free community version and paid professional/enterprise tiers including hosting, support, and consulting.
Pricing Tiers
Full codebase analysis, 14 languages, knowledge graph generation, semantic search, AI code editing, MCP server integration.
Cloud-hosted graph DB, priority email support, SLA-backed response, onboarding assistance.
On-premise & air-gapped deployment, custom graph relationships, dedicated account manager, training workshops.
Target Markets
- Software Development Teams
- Enterprise Engineering Organizations
- Open Source Contributors
- Navigating and understanding large monorepos
- Tracing cross-language call chains and dependencies
- Onboarding engineers to complex codebases
- Surgical AI-assisted code refactoring
- Identifying security issues and data lineage