probe and rawq
About probe
probelabs/probe
AI-friendly semantic code search engine for large codebases. Combines ripgrep speed with tree-sitter AST parsing. Powers AI coding assistants with precise, context-aware code understanding.
Probe helps software engineers quickly understand and navigate large codebases. It takes your code and a natural language question or search query as input, then outputs precise, complete code blocks like functions or classes that are relevant to your request. This is ideal for developers needing to grasp complex code for tasks like onboarding, code reviews, or implementing new features.
About rawq
auyelbekov/rawq
Context retrieval engine for AI agents — semantic + lexical search over codebases
When working with AI agents that interact with codebases, this tool helps them quickly find highly relevant code snippets. You provide a natural language query and a codebase path, and it returns specific code chunks with file paths, line numbers, and scope names. This is for developers or AI agents that need to efficiently retrieve code context.
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