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Advanced Code Search with Tree-sitter AST and Qdrant Vector DB

Show HN: Advanced Code Search with Tree-sitter AST and Qdrant Vector DB

Operating in show hn launch, Advanced Code Search with Tree-sitter AST and Qdrant Vector DB operates.

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For the past couple of months, I’ve been building a tool that enables natural language search over large codebases using Tree-Sitter for syntax parsing and Qdrant for vector-based retrieval. https://app.repogram.com### How It Works- Tree-Sitter is used to parse syntax trees and extract high-quality vector embeddings of code. - These embeddings are stored in Qdrant, enabling fast similarity search across your entire repo. - A combination of re-ranking processes refine search results, producing highly relevant answers to code-related questions.The results have been incredibly accurate, thanks to the quality and structured nature of the embeddings. I've been working through the TypeORM issue ba

The company sits in the show hn launch segment, where it competes on its core product or service.

It is recorded at the Show HN launch stage.

SectorShow HN launch
StageShow HN launch

Website: app.repogram.com

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