Codebase indexing and semantic search tool #2390
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… robust implementation
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I am closing this PR cause I messed up and ruined the history, I will open a new one and reference it here #3137 |
SmartManoj
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May 6, 2025
* RooCodeInc#2272 fix 'see more' not showing up * changeset & format --------- Co-authored-by: Andrei Edell <[email protected]>
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Context
This PR implements codebase indexing using OpenAI embeddings models and Qdrant as a vector storage.
Also allows a new tool
codebase_searchwhich allows Roo to use natural language to search the code indexed.The implementation reuses the tree sitter queries already present in the project.
Implementation
The implementation uses the tree sitter to parse code files, the list of compatible files is already defined in the project and is based on the queries already implemented. The code segments have to comply with a certain size to be indexed, if the code segment is too big, the parser will instead process the each individual children instead.
The quality of the code segments depends on the tree sitter queries already defined.
After the initial indexing, the codebase indexing service will start a file watcher to watch for any changes in the files it already indexed, this includes deleted files.
Screenshots
How to Test
codebase_searchtool will be made available to new tasks.Note: The tool is conditionally added to the system prompt, if the service is disabled the tool will be completely missing from the system prompt.
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