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

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