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Embed your codebase for fast semantic search with Graph RAG.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codeembed" yet — see the docs or source repo.
Search my codebase for implementations related to user login, including call chains and key files, ranked by relevance.
Return relevant files, functions, dependencies, and a brief explanation.
I’m changing the payment flow; analyze which modules, APIs, and test cases may be impacted.
Output an impact list and key risk areas.
Help me quickly understand this repository’s architecture, main module responsibilities, and the 5 most important files to read first.
Generate a codebase overview and reading recommendations.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Search and navigate multiple code repositories with natural language understanding.
Index repositories into a persistent graph for fast code search and understanding.
Build semantic indexes for codebases to find relevant code with natural language queries.
Build and query a codebase knowledge graph with relationships and rationale.
Search code semantically and answer questions about a codebase.