Codebase Contextifier FAQs

Question 1

What kind of code relationships can it track?

Accepted Answer

Using a Neo4j graph database, it tracks critical code relationships like function calls, imports, inheritance, and dependencies across your entire codebase, offering powerful insights into architectural structure and impact analysis.

Question 2

Can I use Codebase Contextifier across multiple projects or repositories?

Accepted Answer

Absolutely. It fully supports multi-repository indexing and semantic search with a shared backend. This allows you to track relationships and perform comprehensive searches seamlessly across all your indexed projects.

Question 3

What is Codebase Contextifier?

Accepted Answer

Codebase Contextifier is a Docker-based server that provides advanced semantic code search, relationship tracking, and real-time monitoring across your codebases using AST-aware chunking and incremental indexing for deep code understanding.

Question 4

How does Codebase Contextifier improve code search accuracy?

Accepted Answer

It leverages AST-aware chunking to maintain semantic integrity within code snippets, generates embeddings using local LLMs (Ollama), and stores them in Qdrant for highly relevant, context-aware semantic search results, far beyond simple keyword matching.

Question 5

Is my code data private and secure with Codebase Contextifier?

Accepted Answer

Yes, Codebase Contextifier is designed 'local-first'. All processing, including embedding generation with Ollama, occurs on your local machine, ensuring your sensitive code never leaves your environment.

Codebase Contextifier

Codebase Contextifier

Key Features

Use Cases

Key Features

Use Cases