Comparison

Graphify vs Vector RAG for codebases

Graphify and Vector RAG solve different parts of codebase understanding. Vector RAG retrieves semantically similar chunks. Graphify builds a persistent graph of code, docs, dependencies, and rationale so engineers and AI coding assistants can reason about relationships.

Graphify outputs

graph.html

graph.json

GRAPH_REPORT.md

Graphify stores inspectable artifacts so codebase knowledge can be reviewed by humans and reused by AI coding assistants.

Graphify

Relationships

Best when architecture paths, dependencies, clusters, and reports matter.

Vector RAG

Similarity

Best when the core task is retrieving relevant chunks from a broad text corpus.

Decision

Use both

Graph context and semantic retrieval can complement each other in advanced systems.

How is Graphify different from Vector RAG?

Graphify models relationships explicitly, while Vector RAG usually retrieves chunks based on embedding similarity. For codebases, explicit structure helps when the question depends on dependencies, call paths, architecture boundaries, or design rationale.

Graphify keeps files, symbols, docs, and rationale connected in graph form.
Vector RAG is strong for semantic retrieval but may flatten code structure.
Architecture review often needs both relevant text and reliable relationships.

When is Graphify the better fit?

Graphify is the better fit when the user needs to explain how parts of a system connect. It is especially useful for onboarding, refactors, migrations, architecture review, and technical handoff.

Use Graphify for path lookups and subsystem maps.
Use Graphify when graph.html and GRAPH_REPORT.md need to be shared.
Use Graphify when code, docs, PDFs, diagrams, and transcripts must be connected.

When is Vector RAG still useful?

Vector RAG is still useful when teams need broad semantic search across a large corpus. It can complement Graphify by retrieving text around a node, report section, or architecture question.

Use Vector RAG for broad natural-language lookup.
Use Graphify for structural relationships and persistent graph artifacts.
Combine both when the product needs search and architecture reasoning.

Decision framework

How should teams compare the options?

Capability

Graphify

Alternative

Code structure

Models imports, calls, classes, files, and rationale as graph relationships.

Often stores code as chunks and depends on retrieval quality.

Persistent context

Exports graph.html, graph.json, and GRAPH_REPORT.md for reuse.

Persists vectors, but not necessarily a readable architecture map.

Architecture review

Surfaces graph centers, communities, paths, and surprise edges.

Can retrieve relevant text but may not expose topology.

Related Graphify guides

Continue through the Graphify topic cluster with pages that explain assistant context, architecture review, documentation, and graph-based codebase understanding.

Codebase knowledge graphs for AI assistants

Learn how codebase knowledge graphs connect source files, docs, diagrams, and rationale so AI coding assistants can answer with structure.

AI coding assistant context that persists

Graphify creates persistent AI coding assistant context from code, docs, PDFs, diagrams, screenshots, and transcripts.

Repository architecture review with Graphify

Use Graphify for repository architecture review by surfacing dependencies, subsystem clusters, graph centers, and unexpected cross-file links.

Turn this concept into a real project graph

Start from the use cases page or upload a project ZIP to build a graph that your team can inspect and reuse.

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