Faulkner DB FAQs

Question 1

How does Faulkner DB integrate with Claude Code/Desktop?

Accepted Answer

Faulkner DB provides 7 dedicated MCP tools for seamless integration with Claude Code/Desktop. This allows AI-powered development tools to access and leverage the structured architectural knowledge base for enhanced productivity and context.

Question 2

How does Faulkner DB help reduce technical debt and improve decision-making?

Accepted Answer

By tracking the rationale behind architectural choices, their evolution, and past failures, Faulkner DB helps teams identify problematic patterns early, foster better collaboration, accelerate onboarding, and make informed decisions to reduce technical debt.

Question 3

What is Faulkner DB?

Accepted Answer

Faulkner DB is a temporal knowledge graph system designed for software teams to capture, query, and analyze architectural decisions, implementation patterns, and failures as they evolve over time. It provides deep insights into project history.

Question 4

Is Faulkner DB resource-intensive?

Accepted Answer

No, Faulkner DB is built on FalkorDB, a CPU-friendly graph database, and operates with a gaming-friendly memory footprint (FalkorDB: 2GB, PostgreSQL: 1GB). It requires no GPU and offers fast query times (<2s).

Question 5

What are the key features of Faulkner DB?

Accepted Answer

It features a temporal knowledge graph, hybrid search (graph traversal, vector embeddings, reranking), NetworkX-based knowledge gap detection, 7 specialized tools for Claude Code/Desktop integration, Docker deployment, and CPU-friendly operation with a minimal memory footprint.

Faulkner DB

Faulkner DB

주요 기능

사용 사례

주요 기능

사용 사례